{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T17:31:35Z","timestamp":1778693495774,"version":"3.51.4"},"reference-count":287,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["62101331"],"award-info":[{"award-number":["62101331"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["21ZR1442700"],"award-info":[{"award-number":["21ZR1442700"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Nature Science Foundation of China","doi-asserted-by":"publisher","award":["62271318"],"award-info":[{"award-number":["62271318"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100013105","name":"Shanghai Rising-Star Program","doi-asserted-by":"publisher","award":["22QA1406100"],"award-info":[{"award-number":["22QA1406100"]}],"id":[{"id":"10.13039\/501100013105","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U20A20159"],"award-info":[{"award-number":["U20A20159"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62001294"],"award-info":[{"award-number":["62001294"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100007219","name":"Natural Science Foundation of Shanghai","doi-asserted-by":"publisher","award":["23ZR1442800"],"award-info":[{"award-number":["23ZR1442800"]}],"id":[{"id":"10.13039\/100007219","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Research Impact Fund (RIF) from Hong Kong RGC","award":["R5009-21"],"award-info":[{"award-number":["R5009-21"]}]},{"DOI":"10.13039\/501100015956","name":"Special Project for Research and Development in Key areas of Guangdong Province","doi-asserted-by":"publisher","award":["2020B0101110003"],"award-info":[{"award-number":["2020B0101110003"]}],"id":[{"id":"10.13039\/501100015956","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Commun. Surv. Tutorials"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/comst.2023.3300664","type":"journal-article","created":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T18:34:34Z","timestamp":1690914874000},"page":"2088-2132","source":"Crossref","is-referenced-by-count":191,"title":["Machine Learning for Large-Scale Optimization in 6G Wireless Networks"],"prefix":"10.1109","volume":"25","author":[{"given":"Yandong","family":"Shi","sequence":"first","affiliation":[{"name":"Department of Mobile Communications and Terminal Research, China Telecom Research Institute, Guangzhou, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9958-7264","authenticated-orcid":false,"given":"Lixiang","family":"Lian","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1418-7465","authenticated-orcid":false,"given":"Yuanming","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-7863-0298","authenticated-orcid":false,"given":"Zixin","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7499-6256","authenticated-orcid":false,"given":"Yong","family":"Zhou","sequence":"additional","affiliation":[{"name":"School of Information Science and Technology, ShanghaiTech University, Shanghai, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5234-9429","authenticated-orcid":false,"given":"Liqun","family":"Fu","sequence":"additional","affiliation":[{"name":"School of Informatics and the Key Laboratory of Underwater Acoustic Communication and Marine Information Technology (Ministry of Education), Xiamen University, Xiamen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5705-0912","authenticated-orcid":false,"given":"Lin","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Cyber Science and Technology, Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5222-1898","authenticated-orcid":false,"given":"Jun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1059-3642","authenticated-orcid":false,"given":"Wei","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering and Telecommunications, The University of New South Wales, Sydney, NSW, Australia"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3131332"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3130901"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2019.1900271"},{"key":"ref4","volume-title":"6G vision and candidate technologies","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2023.3280978"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3061701"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.3007787"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2014.2377273"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2015.7143330"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.121.2100320"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126076"},{"key":"ref12","article-title":"Semantic communication: An information bottleneck view","author":"Beck","year":"2022","journal-title":"arXiv:2204.13366"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2023.3284263"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT.2015.7282651"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.909108"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2996144"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3120926"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2008.917634"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2690386"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3114791"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/MBITS.2022.3212978"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078500"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3100500"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2947591"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3033334"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3156207"},{"key":"ref28","article-title":"Tutorial on amortized optimization for learning to optimize over continuous domains","author":"Amos","year":"2022","journal-title":"arXiv:2202.00665"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3218802"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3219840"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2924010"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2976585"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3027027"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036965"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3181219"},{"key":"ref36","article-title":"Scalable centralized deep multi-agent reinforcement learning via policy gradients","author":"Khan","year":"2018","journal-title":"arXiv:1805.08776"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.006.2100543"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3143372"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3030882"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3135540"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2001239"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.101.2100138"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2019.2898944"},{"key":"ref44","first-page":"41","article-title":"A comprehensive foundation","volume":"2","author":"Haykin","year":"2004","journal-title":"Neural Netw."},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2897134"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2899805"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3071210"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3016905"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2018.2881442"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2846401"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/OJCOMS.2022.3210648"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2904897"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2926625"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933969"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.2200023"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3223224"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2916583"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3089688"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2022.3199544"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2988367"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3079807"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3123620"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3078502"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2988255"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3040983"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3163626"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2963722"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.2990487"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1109\/APCC.2018.8633520"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2017.7997286"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2959348"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3058236"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933973"},{"key":"ref74","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036968"},{"key":"ref75","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3221990"},{"key":"ref76","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3221977"},{"key":"ref77","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3087240"},{"key":"ref78","doi-asserted-by":"publisher","DOI":"10.1109\/jsac.2022.3221991"},{"key":"ref79","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3019312"},{"key":"ref80","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3128392"},{"key":"ref81","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref82","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45855.2022.9838703"},{"key":"ref83","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2019.2924243"},{"key":"ref84","first-page":"399","article-title":"Learning fast approximations of sparse coding","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Gregor"},{"key":"ref85","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2708040"},{"key":"ref86","article-title":"Learning to optimize: A primer and a benchmark","author":"Chen","year":"2021","journal-title":"arXiv:2103.12828"},{"key":"ref87","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2883941"},{"key":"ref88","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8682542"},{"key":"ref89","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2596743"},{"key":"ref90","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2021.3114682"},{"key":"ref91","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3142737"},{"key":"ref92","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3097133"},{"key":"ref93","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3072382"},{"key":"ref94","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3166964"},{"key":"ref95","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2018.2789521"},{"key":"ref96","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700472"},{"key":"ref97","doi-asserted-by":"publisher","DOI":"10.1561\/2000000093"},{"key":"ref98","doi-asserted-by":"publisher","DOI":"10.1109\/18.771234"},{"key":"ref99","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2011.2147784"},{"key":"ref100","doi-asserted-by":"publisher","DOI":"10.1109\/TCI.2020.2964202"},{"key":"ref101","doi-asserted-by":"publisher","DOI":"10.2307\/1910129"},{"key":"ref102","article-title":"Branch and bound in mixed integer linear programming problems: A survey of techniques and trends","author":"Huang","year":"2021","journal-title":"arXiv:2111.06257"},{"key":"ref103","doi-asserted-by":"publisher","DOI":"10.1287\/ijoc.2016.0723"},{"key":"ref104","doi-asserted-by":"publisher","DOI":"10.1016\/j.disopt.2016.01.005"},{"key":"ref105","first-page":"15554","article-title":"Exact combinatorial optimization with graph convolutional neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","author":"Gasse"},{"key":"ref106","article-title":"Solving mixed integer programs using neural networks","author":"Nair","year":"2020","journal-title":"arXiv:2012.13349"},{"key":"ref107","first-page":"3293","article-title":"Learning to search in branch and bound algorithms","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"27","author":"He"},{"key":"ref108","doi-asserted-by":"publisher","DOI":"10.3390\/ai2020010"},{"key":"ref109","doi-asserted-by":"publisher","DOI":"10.1109\/49.793310"},{"key":"ref110","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2013.040413.120676"},{"key":"ref111","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2014.040214.131770"},{"key":"ref112","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2953724"},{"key":"ref113","doi-asserted-by":"publisher","DOI":"10.2307\/353415"},{"key":"ref114","doi-asserted-by":"publisher","DOI":"10.1007\/s10851-007-0008-7"},{"key":"ref115","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2010.5596450"},{"key":"ref116","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3159742"},{"key":"ref117","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2017.2699640"},{"key":"ref118","doi-asserted-by":"publisher","DOI":"10.1109\/mnet.123.2100773"},{"key":"ref119","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref120","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024538"},{"key":"ref121","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3193138"},{"key":"ref122","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9414098"},{"key":"ref123","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746926"},{"key":"ref124","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3255547"},{"key":"ref125","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3125793"},{"key":"ref126","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3100133"},{"key":"ref127","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.3020582"},{"key":"ref128","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2021.3079117"},{"key":"ref129","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3071480"},{"key":"ref130","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685457"},{"key":"ref131","first-page":"3419","article-title":"Generalization and representational limits of graph neural networks","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Garg"},{"key":"ref132","first-page":"1","article-title":"On the bottleneck of graph neural networks and its practical implications","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Alon"},{"key":"ref133","volume-title":"Dynamic Programming and Optimal Control","author":"Bertsekas","year":"1995"},{"key":"ref134","doi-asserted-by":"publisher","DOI":"10.1038\/nature14236"},{"key":"ref135","first-page":"1","article-title":"Continuous control with deep reinforcement learning","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Lillicrap"},{"key":"ref136","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2019.2906260"},{"key":"ref137","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220096"},{"key":"ref138","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC49053.2021.9417262"},{"key":"ref139","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569568"},{"key":"ref140","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2017.8317839"},{"key":"ref141","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2019.08.011"},{"key":"ref142","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2021.122523"},{"key":"ref143","doi-asserted-by":"publisher","DOI":"10.1109\/VPPC.2018.8605023"},{"key":"ref144","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2991057"},{"key":"ref145","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2928837"},{"key":"ref146","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3052079"},{"key":"ref147","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3133045"},{"key":"ref148","doi-asserted-by":"publisher","DOI":"10.1109\/MICRO50266.2020.00090"},{"key":"ref149","doi-asserted-by":"publisher","DOI":"10.1145\/3288599.3288634"},{"key":"ref150","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2020.3045075"},{"key":"ref151","doi-asserted-by":"publisher","DOI":"10.1109\/CSCloud-EdgeCom52276.2021.00044"},{"key":"ref152","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3001227"},{"key":"ref153","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2021.3053612"},{"key":"ref154","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2993071"},{"key":"ref155","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3132422"},{"key":"ref156","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2021.3068340"},{"key":"ref157","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3128209"},{"key":"ref158","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2022.3164395"},{"key":"ref159","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.001.00254"},{"key":"ref160","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2021.3135751"},{"key":"ref161","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3001736"},{"key":"ref162","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2933962"},{"key":"ref163","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3054511"},{"key":"ref164","doi-asserted-by":"publisher","DOI":"10.1016\/j.jet.2004.03.008"},{"key":"ref165","first-page":"310","article-title":"A generalized reinforcement-learning model: Convergence and applications","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","volume":"96","author":"Littman"},{"key":"ref166","first-page":"387","article-title":"Deterministic policy gradient algorithms","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Silver"},{"key":"ref167","doi-asserted-by":"publisher","DOI":"10.1109\/JSYST.2019.2933536"},{"key":"ref168","doi-asserted-by":"publisher","DOI":"10.1145\/3466752.3480129"},{"key":"ref169","doi-asserted-by":"publisher","DOI":"10.1145\/584091.584093"},{"key":"ref170","doi-asserted-by":"publisher","DOI":"10.1002\/j.1538-7305.1948.tb01338.x"},{"key":"ref171","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.101.2100269"},{"key":"ref172","doi-asserted-by":"publisher","DOI":"10.1017\/9781108779302"},{"key":"ref173","first-page":"165","article-title":"Information bottleneck for Gaussian variables","volume":"6","author":"Chechik","year":"2005","journal-title":"J. Mach. Learn. Res."},{"key":"ref174","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2991561"},{"key":"ref175","first-page":"1","article-title":"Deep variational information bottleneck","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Alemi"},{"key":"ref176","first-page":"1","article-title":"Auto-encoding variational Bayes","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref177","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2022.3173056"},{"key":"ref178","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2019.2919300"},{"key":"ref179","doi-asserted-by":"publisher","DOI":"10.1109\/JSAIT.2020.2987203"},{"key":"ref180","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3221968"},{"key":"ref181","doi-asserted-by":"publisher","DOI":"10.1109\/ICCWorkshops53468.2022.9814492"},{"key":"ref182","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3191326"},{"key":"ref183","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3082521"},{"key":"ref184","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3221999"},{"key":"ref185","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2023.3240969"},{"key":"ref186","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3180802"},{"key":"ref187","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00068"},{"key":"ref188","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.008.2200180"},{"key":"ref189","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000604"},{"key":"ref190","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref191","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref192","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref193","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3058573"},{"key":"ref194","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2021.3090430"},{"key":"ref195","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3168066"},{"key":"ref196","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3180799"},{"key":"ref197","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3178808"},{"key":"ref198","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3178970"},{"key":"ref199","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref200","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3062708"},{"key":"ref201","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref202","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118431"},{"key":"ref203","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref204","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref205","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3099505"},{"key":"ref206","article-title":"Over-the-air computation: Foundations, technologies, and applications","author":"Wang","year":"2022","journal-title":"arXiv:2210.10524"},{"key":"ref207","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3171065"},{"key":"ref208","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3227636"},{"key":"ref209","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3064351"},{"key":"ref210","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2022.3173057"},{"key":"ref211","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3026589"},{"key":"ref212","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3174469"},{"key":"ref213","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2020.3004524"},{"key":"ref214","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3131534"},{"key":"ref215","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3095915"},{"key":"ref216","doi-asserted-by":"publisher","DOI":"10.1109\/VTC2021-Spring51267.2021.9448736"},{"key":"ref217","doi-asserted-by":"publisher","DOI":"10.1109\/ICC42927.2021.9500603"},{"key":"ref218","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9348225"},{"key":"ref219","doi-asserted-by":"publisher","DOI":"10.1109\/LNET.2022.3173971"},{"key":"ref220","doi-asserted-by":"publisher","DOI":"10.1109\/MIS.2020.2987774"},{"key":"ref221","article-title":"Backdoor attacks and defenses in feature-partitioned collaborative learning","author":"Liu","year":"2020","journal-title":"arXiv:2007.03608"},{"issue":"7","key":"ref222","article-title":"A communication efficient vertical federated learning framework","volume-title":"Proc. Nat. Acad. Sci.","volume":"118","author":"Liu"},{"key":"ref223","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611972726.18"},{"key":"ref224","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2001016"},{"key":"ref225","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2023.3262366"},{"key":"ref226","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2019.2951501"},{"key":"ref227","doi-asserted-by":"publisher","DOI":"10.1109\/MNET.2019.1900029"},{"key":"ref228","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2020.3035326"},{"key":"ref229","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000373"},{"key":"ref230","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2019.2908906"},{"key":"ref231","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref232","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2992786"},{"key":"ref233","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3053601"},{"key":"ref234","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2019.8761681"},{"key":"ref235","doi-asserted-by":"publisher","DOI":"10.1109\/ISI.2017.8004872"},{"key":"ref236","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036947"},{"key":"ref237","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2023.3283523"},{"key":"ref238","first-page":"5812","article-title":"Graph contrastive learning with augmentations","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"33","author":"You"},{"key":"ref239","first-page":"1","article-title":"Deep graph contrastive representation learning","volume-title":"Proc. Int. Conf. Mach. Learn. Workshop (ICML Workshop)","author":"Zhu"},{"key":"ref240","first-page":"1","article-title":"Adam: A method for stochastic optimization","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Kingma"},{"key":"ref241","doi-asserted-by":"publisher","DOI":"10.1109\/TCCN.2021.3084409"},{"key":"ref242","doi-asserted-by":"publisher","DOI":"10.15215\/aupress\/9781897425084.01"},{"key":"ref243","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2022.3149863"},{"key":"ref244","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3068568"},{"key":"ref245","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3085659"},{"key":"ref246","first-page":"597","article-title":"Online tracking by learning discriminative saliency map with convolutional neural network","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Hong"},{"key":"ref247","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3192606"},{"key":"ref248","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053942"},{"key":"ref249","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i12.17320"},{"key":"ref250","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800447"},{"key":"ref251","doi-asserted-by":"publisher","DOI":"10.1016\/j.acha.2009.04.002"},{"key":"ref252","first-page":"9061","article-title":"Theoretical linear convergence of unfolded ISTA and its practical weights and thresholds","volume-title":"Proc. Neural Inf. Process. Syst. (NeurIPS)","author":"Chen"},{"key":"ref253","first-page":"13100","article-title":"Learning step sizes for unfolded sparse coding","volume-title":"Proc. Neural Inf. Process. Syst. (NeurIPS)","author":"Ablin"},{"key":"ref254","first-page":"627","article-title":"A reduction of imitation learning and structured prediction to no-regret online learning","volume-title":"Proc. Int. Conf. Artif. Intell. Stat.","author":"Ross"},{"key":"ref255","first-page":"6683","article-title":"Bellman-consistent pessimism for offline reinforcement learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NeurIPS)","volume":"34","author":"Xie"},{"key":"ref256","first-page":"2730","article-title":"Offline reinforcement learning with realizability and single-policy concentrability","volume-title":"Proc. Conf. Learn. Theory","volume":"178","author":"Zhan"},{"key":"ref257","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3223408"},{"key":"ref258","first-page":"1","volume-title":"Coding Theorems for a Discrete Source With a Fidelity Criterion","volume":"4","author":"Shannon","year":"1959"},{"key":"ref259","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3037554"},{"key":"ref260","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3052681"},{"key":"ref261","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3162595"},{"key":"ref262","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126060"},{"key":"ref263","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3036948"},{"key":"ref264","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9517780"},{"key":"ref265","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps56602.2022.10008719"},{"key":"ref266","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2023.3304652"},{"key":"ref267","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2021.3125798"},{"key":"ref268","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3042074"},{"key":"ref269","first-page":"537","article-title":"Compressed sensing using generative models","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Bora"},{"key":"ref270","first-page":"1","article-title":"DeepMIMO: A generic deep learning dataset for millimeter wave and massive MIMO applications","volume-title":"Proc. Inf. Theory Appl. Workshop (ITA)","author":"Alkhateeb"},{"key":"ref271","doi-asserted-by":"publisher","DOI":"10.1109\/ITA.2018.8503086"},{"key":"ref272","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2979523"},{"key":"ref273","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2021.3058657"},{"key":"ref274","volume-title":"New SI: Study on Artificial Intelligence (AI)\/Machine Learning (ML) for NR Air Interface","year":"2021"},{"key":"ref275","volume-title":"AI\/ML Framework for Air Interface","year":"2022"},{"key":"ref276","volume-title":"On General Aspects of AI\/ML Framework","year":"2022"},{"key":"ref277","volume-title":"Huawei releases industry\u2019s first Dual-200 massive MIMO AAU","year":"2017"},{"key":"ref278","volume-title":"Tensorflow","year":"2022"},{"key":"ref279","volume-title":"Tensorflow","year":"2022"},{"key":"ref280","volume-title":"Caffe2","year":"2022"},{"key":"ref281","volume-title":"Blocks","year":"2022"},{"key":"ref282","volume-title":"MS cognitive toolkit","year":"2022"},{"key":"ref283","volume-title":"Lasagne","year":"2022"},{"key":"ref284","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685416"},{"key":"ref285","doi-asserted-by":"publisher","DOI":"10.1007\/s10898-020-00890-3"},{"key":"ref286","article-title":"Neural fixed-point acceleration for convex optimization","author":"Venkataraman","year":"2021","journal-title":"arXiv:2107.10254"},{"key":"ref287","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3142185"}],"container-title":["IEEE Communications Surveys &amp; Tutorials"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9739\/10324457\/10198239.pdf?arnumber=10198239","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,1]],"date-time":"2024-03-01T16:31:24Z","timestamp":1709310684000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10198239\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":287,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/comst.2023.3300664","relation":{},"ISSN":["1553-877X","2373-745X"],"issn-type":[{"value":"1553-877X","type":"electronic"},{"value":"2373-745X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}