{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T20:40:42Z","timestamp":1782938442068,"version":"3.54.5"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Signal Process."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/tsp.2026.3697131","type":"journal-article","created":{"date-parts":[[2026,5,26]],"date-time":"2026-05-26T19:43:12Z","timestamp":1779824592000},"page":"2706-2723","source":"Crossref","is-referenced-by-count":0,"title":["Communication-Efficient Zero-Order and First-Order Federated Learning Methods Over Wireless Networks"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3909-6241","authenticated-orcid":false,"given":"Mohamad","family":"Assaad","sequence":"first","affiliation":[{"name":"Laboratory of Signals and Systems (L2S), CentraleSupelec, University of Paris-Saclay, Gif-sur-Yvette, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8544-954X","authenticated-orcid":false,"given":"Zeinab","family":"Nehme","sequence":"additional","affiliation":[{"name":"Laboratory of Signals and Systems (L2S), CentraleSupelec, University of Paris-Saclay, Gif-sur-Yvette, France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8941-8080","authenticated-orcid":false,"given":"Merouane","family":"Debbah","sequence":"additional","affiliation":[{"name":"Laboratory of Signals and Systems (L2S), CentraleSupelec, University of Paris-Saclay, Gif-sur-Yvette, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. 20th Int. Conf. Artif. Intell. Stat.","volume":"54","author":"McMahan","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3115952"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2021.3106104"},{"key":"ref4","first-page":"5861","article-title":"FedNew: A communication-efficient and privacy-preserving Newton-type method for federated learning","volume-title":"Proc. 39th Int. Conf. Mach. Learn.","volume":"162","author":"Elgabli","year":"2022"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/IEEECONF44664.2019.9049023"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2025.3598997"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3002925"},{"key":"ref10","first-page":"4519","article-title":"Tighter theory for local SGD on identical and heterogeneous data","volume-title":"Proc. 23rd Int. Conf. Artif. Intell. Statist.","volume":"108","author":"Khaled","year":"2020"},{"key":"ref11","article-title":"LAG: Lazily aggregated gradient for communication-efficient distributed learning","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Chen","year":"2018"},{"key":"ref12","article-title":"Federated Learning: Strategies for Improving Communication Efficiency","author":"Kone\u010dn\u00fd","year":"2016"},{"key":"ref13","article-title":"Distributed Learning with Compressed Gradients","author":"Khirirat","year":"2018"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054491"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1080\/10556788.2024.2358790"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2022.3162989"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2015.2409256"},{"key":"ref18","article-title":"Optimal algorithms for online convex optimization with multi-point bandit feedback,","volume-title":"Proc. COLT","author":"Agarwal","year":"2010"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3316887"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.3003837"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3162958"},{"key":"ref22","article-title":"Communication-efficient adaptive federated learning","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Wang","year":"2022"},{"key":"ref23","article-title":"signSGD via zeroth-order oracle","volume-title":"Proc. Int. Conf. Learn. Represent. (ICLR)","author":"Sijia","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/Allerton63246.2024.10735291"},{"issue":"418","key":"ref25","first-page":"1","article-title":"Countering the communication bottleneck in federated learning: A highly efficient zero-order optimization technique","volume":"25","author":"Mhanna","year":"2024","journal-title":"J. Mach. Learn. Res."},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2025.3561720"},{"key":"ref27","doi-asserted-by":"crossref","DOI":"10.52202\/075280-2308","article-title":"Fine-tuning language models with just forward passes","volume-title":"Proc. 37th Int. Conf. Neural Inf. Process. Syst. (NeurIPS)","author":"Malladi","year":"2023"},{"key":"ref28","article-title":"Just one byte (per Gradient): A note on low- bandwidth decentralized language model finetuning using shared randomness","author":"Zelikman","year":"2023"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-73226-3_6"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3214122"},{"key":"ref31","article-title":"FedScalar: A communication efficient federated learning","author":"Rostami","year":"2024"},{"key":"ref32","article-title":"Communication-efficient zero-order and first-order federated learning methods over wireless networks","author":"Assaad","year":"2025"},{"key":"ref33","article-title":"Sparsified SGD with memory","volume-title":"Proc. 32nd Int. Conf. Neural Inf. Process. Syst.","author":"Stich","year":"2018"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1137\/120880811"}],"container-title":["IEEE Transactions on Signal Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/78\/11345506\/11535321.pdf?arnumber=11535321","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T19:38:34Z","timestamp":1782934714000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11535321\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":34,"URL":"https:\/\/doi.org\/10.1109\/tsp.2026.3697131","relation":{},"ISSN":["1053-587X","1941-0476"],"issn-type":[{"value":"1053-587X","type":"print"},{"value":"1941-0476","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}