{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:18:11Z","timestamp":1784135891940,"version":"3.55.0"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"19","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2024YFB4303402"],"award-info":[{"award-number":["2024YFB4303402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Opening Project of Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing"},{"DOI":"10.13039\/100017361","name":"Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education","doi-asserted-by":"publisher","award":["GXKL06220201"],"award-info":[{"award-number":["GXKL06220201"]}],"id":[{"id":"10.13039\/100017361","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Internet Things J."],"published-print":{"date-parts":[[2025,10,1]]},"DOI":"10.1109\/jiot.2025.3591626","type":"journal-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T18:44:39Z","timestamp":1753296279000},"page":"40711-40730","source":"Crossref","is-referenced-by-count":4,"title":["Toward Communication-Efficient Over-the-Air Federated Learning: Synergistic Compression for Uplink and Downlink Transmission"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1437-9659","authenticated-orcid":false,"given":"Sihui","family":"Zheng","sequence":"first","affiliation":[{"name":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1725-4798","authenticated-orcid":false,"given":"Liyan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5275-1787","authenticated-orcid":false,"given":"Yuhan","family":"Dong","sequence":"additional","affiliation":[{"name":"Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9097-4236","authenticated-orcid":false,"given":"Xiaohuan","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing and the School of Information and Communication, Guilin University of Electronic Technology, Guilin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3504-9763","authenticated-orcid":false,"given":"Xijun","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9800-6472","authenticated-orcid":false,"given":"Xiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps58843.2023.10464512"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3176739"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3291701"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3125282"},{"key":"ref6","first-page":"2021","article-title":"FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Reisizadeh"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2020.3041388"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref9","first-page":"1","article-title":"Sparsified SGD with memory","volume-title":"Proc. 32nd Conf. Neural Inf. Process. Syst.","volume":"31","author":"Stich"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3154387"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2022.3192050"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3213650"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCC62479.2024.10681900"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2007.904785"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2981904"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3090323"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3230452"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TGCN.2022.3186538"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488818"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3411295"},{"key":"ref23","first-page":"1","article-title":"QSGD: Communication-efficient SGD via gradient quantization and encoding","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Alistarh"},{"key":"ref24","article-title":"Federated learning with quantized global model updates","author":"Amiri","year":"2020","journal-title":"arXiv:2006.10672"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3126081"},{"key":"ref26","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3235894"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ISIT45174.2021.9518221"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3183713.3183735"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/23002.23003"},{"key":"ref32","first-page":"1737","article-title":"Deep learning with limited numerical precision","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Gupta"},{"key":"ref33","first-page":"23867","article-title":"Achieving lossless gradient sparsification via mapping to alternative space in federated learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Kim"},{"key":"ref34","first-page":"1","article-title":"On the convergence of FedAvg on non-IID data","volume-title":"Proc. Int. Conf. Learn. Representations (ICLR)","author":"Li"},{"key":"ref35","first-page":"1","article-title":"Local SGD converges fast and communicates little","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Stich"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/jsait.2020.2985917"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16920"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref39","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref40","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv:1409.1556"},{"key":"ref41","volume-title":"The Complete Works of William Shakespeare","author":"Shakespeare","year":"1907"},{"key":"ref42","article-title":"LEAF: A benchmark for federated settings","author":"Caldas","year":"2018","journal-title":"arXiv:1812.01097"},{"key":"ref43","article-title":"Adaptive federated optimization","author":"Reddi","journal-title":"arXiv:2003.00295"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2023.3318555"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2024.3381373"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413697"},{"key":"ref48","article-title":"FedAQ: Communication-efficient federated edge learning via joint uplink and downlink adaptive quantization","author":"Qu","year":"2024","journal-title":"arXiv:2406.18156"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1960.10489896"},{"key":"ref50","first-page":"19638","article-title":"Analysis of error feedback in federated non-convex optimization with biased compression: Fast convergence and partial participation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Li"}],"container-title":["IEEE Internet of Things Journal"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6488907\/11177626\/11090013.pdf?arnumber=11090013","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,30]],"date-time":"2025-09-30T13:59:28Z","timestamp":1759240768000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11090013\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,1]]},"references-count":50,"journal-issue":{"issue":"19"},"URL":"https:\/\/doi.org\/10.1109\/jiot.2025.3591626","relation":{},"ISSN":["2327-4662","2372-2541"],"issn-type":[{"value":"2327-4662","type":"electronic"},{"value":"2372-2541","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,10,1]]}}}