{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,5]],"date-time":"2026-04-05T05:32:27Z","timestamp":1775367147677,"version":"3.50.1"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,1]],"date-time":"2025-12-01T00:00:00Z","timestamp":1764547200000},"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. Netw. Serv. Manage."],"published-print":{"date-parts":[[2025,12]]},"DOI":"10.1109\/tnsm.2025.3613772","type":"journal-article","created":{"date-parts":[[2025,9,24]],"date-time":"2025-09-24T17:33:48Z","timestamp":1758735228000},"page":"5167-5178","source":"Crossref","is-referenced-by-count":3,"title":["On the Optimization of Model Aggregation for Federated Learning at the Network Edge"],"prefix":"10.1109","volume":"22","author":[{"given":"Mengyao","family":"Li","sequence":"first","affiliation":[{"name":"Dipartimento di Elettronica and the Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"}]},{"given":"Noah","family":"Ploch","sequence":"additional","affiliation":[{"name":"School of Computation, Information, and Technology, Technical University Munich, Munich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4712-3767","authenticated-orcid":false,"given":"Sebastian","family":"Troia","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica and the Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"}]},{"given":"Carlo","family":"Spatocco","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica and the Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4358-8038","authenticated-orcid":false,"given":"Wolfgang","family":"Kellerer","sequence":"additional","affiliation":[{"name":"School of Computation, Information, and Technology, Technical University Munich, Munich, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6103-435X","authenticated-orcid":false,"given":"Guido","family":"Maier","sequence":"additional","affiliation":[{"name":"Dipartimento di Elettronica and the Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3034136"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2682318"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCN.2019.8847124"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/HORA55278.2022.9799862"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2020.2986024"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900461"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106775"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.dcan.2022.10.015"},{"key":"ref10","doi-asserted-by":"crossref","DOI":"10.1016\/j.comnet.2024.110248","article-title":"WatchEDGE: Smart networking for distributed AI-based environmental control","volume":"243","author":"Maier","year":"2024","journal-title":"Comput. Netw."},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2023.09.008"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3659205"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/app12189124"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3003744"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3218807"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3168538"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488756"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3131654"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3238049"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1049\/cmu2.12333"},{"key":"ref23","first-page":"1","article-title":"Network for AI: Communication-efficient federated learning with MST-based scheduling and multi-aggregation over optical networks","volume-title":"Proc. Opt. Fiber Commun. Conf. Exhibition (OFC)","author":"Wang"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3672202.3673744"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3028742"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/LCOMM.2022.3154434"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.dib.2021.107557"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW54120.2021.00112"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3038793"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/BF01130406"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1602.07360"},{"key":"ref32","first-page":"4510","article-title":"MobileNetV2: Inverted residuals and linear bottlenecks","volume-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit. (CVPR)","author":"Zhu"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00293"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.4324\/9781410605337-29"},{"key":"ref35","volume-title":"ResNet18, ResNet50\u2014Torchvision main documentation","year":"2023"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00607-020-00896-5"}],"container-title":["IEEE Transactions on Network and Service Management"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/4275028\/11278396\/11178110.pdf?arnumber=11178110","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,5]],"date-time":"2025-12-05T18:38:37Z","timestamp":1764959917000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11178110\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12]]},"references-count":36,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tnsm.2025.3613772","relation":{},"ISSN":["1932-4537","2373-7379"],"issn-type":[{"value":"1932-4537","type":"electronic"},{"value":"2373-7379","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,12]]}}}