{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T21:16:41Z","timestamp":1765228601024,"version":"3.46.0"},"reference-count":67,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"European Research Council","award":["101163973"],"award-info":[{"award-number":["101163973"]}]},{"name":"Israeli Ministry of Science and Technology"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tsp.2025.3627252","type":"journal-article","created":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T18:05:29Z","timestamp":1761847529000},"page":"4556-4572","source":"Crossref","is-referenced-by-count":0,"title":["PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning"],"prefix":"10.1109","volume":"73","author":[{"given":"Ori","family":"Peleg","sequence":"first","affiliation":[{"name":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva Negev, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-7792","authenticated-orcid":false,"given":"Natalie","family":"Lang","sequence":"additional","affiliation":[{"name":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva Negev, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-7891-6993","authenticated-orcid":false,"given":"Dan","family":"Ben Ami","sequence":"additional","affiliation":[{"name":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva Negev, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1681-3316","authenticated-orcid":false,"given":"Stefano","family":"Rini","sequence":"additional","affiliation":[{"name":"Department of ECE, National Yang-Ming Chiao-Tung University (NYCU), Hsinchu, Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2234-929X","authenticated-orcid":false,"given":"Nir","family":"Shlezinger","sequence":"additional","affiliation":[{"name":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva Negev, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0532-009X","authenticated-orcid":false,"given":"Kobi","family":"Cohen","sequence":"additional","affiliation":[{"name":"School of ECE, Ben-Gurion University of the Negev, Beer-Sheva Negev, Israel"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49660.2025.10890399"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan","year":"2017"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3125282"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref7","article-title":"The convergence of sparsified gradient methods","volume":"31","author":"Alistarh","year":"2018","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"article-title":"OLALa: Online learned adaptive lattice codes for heterogeneous federated learning","year":"2025","author":"Lang","key":"ref8"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS47774.2020.00026"},{"key":"ref10","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","year":"2020"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.3046971"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2981904"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2020.2989580"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s11831-023-10011-4"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110663"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3299573"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3031503"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3028742"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3210365"},{"key":"ref21","first-page":"3407","article-title":"Clustered sampling: Low-variance and improved representativity for clients selection in federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.,","author":"Fraboni","year":"2021"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3008091"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/LWC.2021.3069541"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2025.3543441"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447542"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3040887"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616052"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3172113"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3195073"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICCT62411.2024.10946435"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102549"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.comnet.2024.110512"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_2"},{"article-title":"iDLG: Improved deep leakage from gradients","year":"2020","author":"Zhao","key":"ref34"},{"key":"ref35","article-title":"Evaluating gradient inversion attacks and defenses in federated learning","volume":"34","author":"Huang","year":"2021","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01607"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP39728.2021.9413764"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/icassp39728.2021.9414538"},{"key":"ref40","article-title":"Private federated learning without a trusted server: Optimal algorithms for convex losses","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Lowy","year":"2023"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3244092"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/tmc.2025.3564390"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/FOCS.2010.12"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10448141"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/217"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-17653-2_13"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-26951-7_22"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-79289-2"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013689704352"},{"key":"ref50","first-page":"151","article-title":"Combinatorial multi-armed bandit: General framework and applications","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Chen","year":"2013"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1287\/moor.13.2.311"},{"key":"ref52","article-title":"On the convergence of FedAvg on non-IID data","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li","year":"2019"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2024.3486979"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1137\/090756090"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6096"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.3390\/s20247030"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.29012\/jpc.v7i3.405"},{"key":"ref58","first-page":"374","article-title":"Towards federated learning at scale: System design","volume":"1","author":"Bonawitz","year":"2019","journal-title":"Mach. Learn. Syst. (MLSys)"},{"article-title":"Asynchronous federated optimization","year":"2019","author":"Xie","key":"ref59"},{"key":"ref60","article-title":"Asynchronous federated learning with bidirectional quantized communications and buffered aggregation","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML), Workshop Federated Learn. Analytics","author":"Ortega","year":"2023"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1007\/0-306-48056-5_10"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.5772\/5560"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1023\/B:COAP.0000044187.23143.bd"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1137\/050644033"},{"key":"ref65","first-page":"5306","article-title":"Adaptive exploration-exploitation tradeoff for opportunistic bandits","volume-title":"Proc. Int. Conf. Mach. Learn.,","author":"Wu","year":"2018"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1109\/ADPRL.2014.7010620"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-0865-5_26"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/78\/10807692\/11222838.pdf?arnumber=11222838","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T18:42:51Z","timestamp":1765219371000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11222838\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":67,"URL":"https:\/\/doi.org\/10.1109\/tsp.2025.3627252","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"type":"print","value":"1053-587X"},{"type":"electronic","value":"1941-0476"}],"subject":[],"published":{"date-parts":[[2025]]}}}