{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T16:10:12Z","timestamp":1788019812082,"version":"build-2784847793"},"reference-count":36,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"am","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"I-DAPT HUB FOUNDATION"},{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["l-DAPT\/IIT (BHU)\/2023-24\/ Project Sanction\/43"],"award-info":[{"award-number":["l-DAPT\/IIT (BHU)\/2023-24\/ Project Sanction\/43"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001843","name":"Science and Engineering Research Board","doi-asserted-by":"publisher","award":["MTR\/2023\/000764"],"award-info":[{"award-number":["MTR\/2023\/000764"]}],"id":[{"id":"10.13039\/501100001843","id-type":"DOI","asserted-by":"publisher"}]},{"name":"NSF","award":["CNS-2008878"],"award-info":[{"award-number":["CNS-2008878"]}]},{"name":"Cyberinfrastructure for Accelerating Innovation in Network Dynamics","award":["OAC-2104078"],"award-info":[{"award-number":["OAC-2104078"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Parallel Distrib. Syst."],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1109\/tpds.2024.3379933","type":"journal-article","created":{"date-parts":[[2024,3,20]],"date-time":"2024-03-20T18:35:33Z","timestamp":1710959733000},"page":"1207-1220","source":"Crossref","is-referenced-by-count":30,"title":["Fed-RAC: Resource-Aware Clustering for Tackling Heterogeneity of Participants in Federated Learning"],"prefix":"10.1109","volume":"35","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0976-6737","authenticated-orcid":false,"given":"Rahul","family":"Mishra","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Institute of Technology Patna, Patna, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3207-1340","authenticated-orcid":false,"given":"Hari Prabhat","family":"Gupta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Institute of Technology (BHU), Varanasi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6473-7261","authenticated-orcid":false,"given":"Garvit","family":"Banga","sequence":"additional","affiliation":[{"name":"Department of Metallurgical Engineering, Indian Institute of Technology (BHU), Varanasi, India"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9471-0868","authenticated-orcid":false,"given":"Sajal K.","family":"Das","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3134263"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3139039"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2021.3063482"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3153495"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467681"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207469"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TNSM.2021.3090446"},{"key":"ref8","first-page":"12876","article-title":"FJORD: Fair and accurate federated learning under heterogeneous targets with ordered dropout","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Horvath"},{"key":"ref9","article-title":"HeteroFL: Computation and communication efficient federated learning for heterogeneous clients","author":"Diao","year":"2020"},{"key":"ref10","article-title":"Distilling the knowledge in a neural network","author":"Hinton","year":"2015"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/tcyb.2020.3007506"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2188509"},{"key":"ref13","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Artif. Intell. Statist.","author":"McMahan"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/3369583.3392686"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS51616.2021.00012"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref17","first-page":"437","article-title":"A public domain dataset for human activity recognition using smartphones","volume-title":"Proc. Eur. Symp. Artif. Neural Netw.","author":"Anguita"},{"key":"ref18","article-title":"Learning multiple layers of features from tiny images","author":"Krizhevsky","year":"2009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3560905.3568503"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3437984.3458839"},{"key":"ref22","first-page":"29677","article-title":"FedRolex: Model-heterogeneous federated learning with rolling sub-model extraction","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Alam"},{"key":"ref23","article-title":"Asynchronous federated optimization","author":"Xie","year":"2019"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2953131"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118435"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3225185"},{"key":"ref27","article-title":"Fedmd: Heterogenous federated learning via model distillation","author":"Li","year":"2019"},{"key":"ref28","first-page":"2351","article-title":"Ensemble distillation for robust model fusion in federated learning","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lin"},{"key":"ref29","first-page":"14068","article-title":"Group knowledge transfer: Federated learning of large CNNs at the edge","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"He"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"ref31","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Wang"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3307681.3326608"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3274783.3274840"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/3477.678624"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/NUICONE.2012.6493211"},{"key":"ref36","first-page":"1","article-title":"On the convergence of FEDAVG on non-IID data","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Li"},{"key":"ref37","article-title":"Supplementary material: FedRAC","year":"2023"}],"container-title":["IEEE Transactions on Parallel and Distributed Systems"],"original-title":[],"link":[{"URL":"https:\/\/ieeexplore.ieee.org\/ielam\/71\/10530517\/10476717-aam.pdf","content-type":"application\/pdf","content-version":"am","intended-application":"syndication"},{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/71\/10530517\/10476717.pdf?arnumber=10476717","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T17:33:14Z","timestamp":1716226394000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10476717\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":36,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tpds.2024.3379933","relation":{},"ISSN":["1045-9219","1558-2183","2161-9883"],"issn-type":[{"value":"1045-9219","type":"print"},{"value":"1558-2183","type":"electronic"},{"value":"2161-9883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,7]]}}}