{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T16:02:14Z","timestamp":1778256134578,"version":"3.51.4"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T00:00:00Z","timestamp":1706745600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Cisco Inc."},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CNS-2146171"],"award-info":[{"award-number":["CNS-2146171"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"NSF","doi-asserted-by":"publisher","award":["CNS-2129615"],"award-info":[{"award-number":["CNS-2129615"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000006","name":"ONR","doi-asserted-by":"publisher","award":["N000142212305"],"award-info":[{"award-number":["N000142212305"]}],"id":[{"id":"10.13039\/100000006","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000185","name":"DARPA","doi-asserted-by":"publisher","award":["D22AP00168-00"],"award-info":[{"award-number":["D22AP00168-00"]}],"id":[{"id":"10.13039\/100000185","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE\/ACM Trans. Networking"],"published-print":{"date-parts":[[2024,2]]},"DOI":"10.1109\/tnet.2023.3286987","type":"journal-article","created":{"date-parts":[[2023,7,10]],"date-time":"2023-07-10T19:57:56Z","timestamp":1689019076000},"page":"222-237","source":"Crossref","is-referenced-by-count":20,"title":["Parallel Successive Learning for Dynamic Distributed Model Training Over Heterogeneous Wireless Networks"],"prefix":"10.1109","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4266-4000","authenticated-orcid":false,"given":"Seyyedali","family":"Hosseinalipour","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering, University at Buffalo-SUNY, Buffalo, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7550-1120","authenticated-orcid":false,"given":"Su","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5521-6496","authenticated-orcid":false,"given":"Nicol\u00f2","family":"Michelusi","sequence":"additional","affiliation":[{"name":"School of Electrical, Computer, Energy Engineering, Arizona State University, Tempe, AZ, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9131-4723","authenticated-orcid":false,"given":"Vaneet","family":"Aggarwal","sequence":"additional","affiliation":[{"name":"Schools of Industrial Engineering and Electrical and Computer Engineering, Purdue University, West Lafayette, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2771-3521","authenticated-orcid":false,"given":"Christopher G.","family":"Brinton","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5922-4787","authenticated-orcid":false,"given":"David J.","family":"Love","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mung","family":"Chiang","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2016.1500356WC"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2019.2941458"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Stat.","author":"McMahan"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.1900103"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2020.3024629"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2946245"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.2974748"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9054168"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3295500.3356222"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps45667.2019.9024521"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2021.3075432"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00972"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/mis.2021.3114610"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148862"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2964162"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154332"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2022.3143495"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118344"},{"key":"ref22","first-page":"614","article-title":"Adversarially learned representations for information obfuscation and inference","volume-title":"Proc. Int. Conf. Mach. Learn. (ICML)","author":"Bertran"},{"key":"ref23","first-page":"1","article-title":"Can we generalize and distribute private representation learning?","volume-title":"Proc. 25th Int. Conf. Artif. Intell. Stat. (AISTATS)","author":"Azam"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2021.3098022"},{"key":"ref25","article-title":"Federated learning with non-IID data","author":"Zhao","year":"2018","journal-title":"arXiv:1806.00582"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000410"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM42981.2021.9488906"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2014.6815897"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000397"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S1570-8705(03)00043-X"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1007\/s11235-010-9400-5"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.adhoc.2012.12.004"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"ref34","volume-title":"From COVID to Curbside, 2020 Changed Our Vocabulary Too","author":"Netburn","year":"2020"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2017.2765202"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1201\/9780429296284"},{"key":"ref37","article-title":"Accelerating minibatch stochastic gradient descent using stratified sampling","author":"Zhao","year":"2014","journal-title":"arXiv:1405.3080"},{"key":"ref38","article-title":"Principled deep neural network training through linear programming","author":"Bienstock","year":"2018","journal-title":"arXiv:1810.03218"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/SPAWC48557.2020.9154327"},{"key":"ref40","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","volume":"33","author":"Wang"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2018.2859394"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2014.2364184"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/tnet.2020.3035770"},{"key":"ref44","article-title":"Towards flexible device participation in federated learning","author":"Ruan","year":"2020","journal-title":"arXiv:2006.06954"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1561\/9781933019574"},{"issue":"83","key":"ref46","first-page":"1","article-title":"CVXPY: A Python-embedded modeling language for convex optimization","volume":"17","author":"Diamond","year":"2016","journal-title":"J. Mach. Learn. Res."},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2013.10.016"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1512\/iumj.1973.22.22045"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1287\/opre.26.4.681"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/tnsm.2022.3216326"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511807213"},{"key":"ref52","first-page":"8026","article-title":"PyTorch: An imperative style, high-performance deep learning library","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Paszke"},{"key":"ref53","volume-title":"The MNIST Dataset of Handwritten Digits","author":"Yan","year":"2023"},{"key":"ref54","volume-title":"Fashion-MNIST","author":"Xiao","year":"2023"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-4380-9_12"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1007\/s11081-007-9001-7"}],"container-title":["IEEE\/ACM Transactions on Networking"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/90\/10439254\/10177694-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/90\/10439254\/10177694.pdf?arnumber=10177694","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T03:56:11Z","timestamp":1710388571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10177694\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,2]]},"references-count":56,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tnet.2023.3286987","relation":{},"ISSN":["1063-6692","1558-2566"],"issn-type":[{"value":"1063-6692","type":"print"},{"value":"1558-2566","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,2]]}}}