{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,10]],"date-time":"2026-01-10T19:27:04Z","timestamp":1768073224908,"version":"3.49.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,16]],"date-time":"2022-05-16T00:00:00Z","timestamp":1652659200000},"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":[],"published-print":{"date-parts":[[2022,5,16]]},"DOI":"10.1109\/iccworkshops53468.2022.9814610","type":"proceedings-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T16:02:54Z","timestamp":1657555374000},"page":"43-48","source":"Crossref","is-referenced-by-count":6,"title":["Resource-Efficient and Delay-Aware Federated Learning Design under Edge Heterogeneity"],"prefix":"10.1109","author":[{"given":"David","family":"Nickel","sequence":"first","affiliation":[{"name":"Electrical and Computer Engineering, Purdue University,West Lafayette,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Frank Po-Chen","family":"Lin","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering, Purdue University,West Lafayette,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seyyedali","family":"Hosseinalipour","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering, Purdue University,West Lafayette,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nicolo","family":"Michelusi","sequence":"additional","affiliation":[{"name":"Electrical, Computer, and Energy Engineering, Arizona State University,Tempe,AZ,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher G.","family":"Brinton","sequence":"additional","affiliation":[{"name":"Electrical and Computer Engineering, Purdue University,West Lafayette,IN,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","article-title":"Multi-stage hybrid federated learning over large-scale D2D-enabled fog networks","author":"hosseinalipour","year":"2020","journal-title":"ArXiv"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148815"},{"key":"ref12","article-title":"Energy efficient federated learning over wireless communication networks","author":"yang","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2961673"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM42002.2020.9322592"},{"key":"ref15","article-title":"Resource-efficient and delay-aware federated learning design under edge heterogeneity","author":"nickel","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1561\/9781933019574"},{"key":"ref17","article-title":"Parallel successive learning for dynamic distributed model training over heterogeneous wireless networks","author":"hosseinalipour","year":"2022","journal-title":"ArXiv Preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2019.2944169"},{"key":"ref3","article-title":"Federated learning: Strategies for improving communication efficiency","author":"kone?n\u00fd","year":"0","journal-title":"Proc NIPS Workshop"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.001.2000410"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2019.8737464"},{"key":"ref7","article-title":"On the convergence of local descent methods in federated learning","author":"haddadpour","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref2","first-page":"1273","volume":"54","author":"mcmahan","year":"2017","journal-title":"Communication-efficient learning of deep networks from decentralized data"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2016.2584538"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118344"}],"event":{"name":"2022 IEEE International Conference on Communications Workshops (ICC Workshops)","location":"Seoul, Korea, Republic of","start":{"date-parts":[[2022,5,16]]},"end":{"date-parts":[[2022,5,20]]}},"container-title":["2022 IEEE International Conference on Communications Workshops (ICC Workshops)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9813727\/9813734\/09814610.pdf?arnumber=9814610","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,8]],"date-time":"2022-08-08T16:03:36Z","timestamp":1659974616000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9814610\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,16]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/iccworkshops53468.2022.9814610","relation":{},"subject":[],"published":{"date-parts":[[2022,5,16]]}}}