{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T05:11:28Z","timestamp":1778217088768,"version":"3.51.4"},"reference-count":72,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100014219","name":"National Science Fund for Distinguished Young Scholars","doi-asserted-by":"publisher","award":["62025205"],"award-info":[{"award-number":["62025205"]}],"id":[{"id":"10.13039\/501100014219","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62522215"],"award-info":[{"award-number":["62522215"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62532009"],"award-info":[{"award-number":["62532009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62472354"],"award-info":[{"award-number":["62472354"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Mobile Comput."],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/tmc.2025.3645312","type":"journal-article","created":{"date-parts":[[2025,12,17]],"date-time":"2025-12-17T18:49:17Z","timestamp":1765997357000},"page":"7814-7830","source":"Crossref","is-referenced-by-count":0,"title":["AdaCLP: Efficient Federated Learning for Asynchronous Mobile Devices With Temporally Imbalanced Data"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4402-1260","authenticated-orcid":false,"given":"Sicong","family":"Liu","sequence":"first","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-2067-9847","authenticated-orcid":false,"given":"Yuan","family":"Xu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5457-6967","authenticated-orcid":false,"given":"Zimu","family":"Zhou","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2653-5786","authenticated-orcid":false,"given":"Xiaochen","family":"Li","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weiye","family":"Wu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6097-2467","authenticated-orcid":false,"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9905-3238","authenticated-orcid":false,"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechnical University, Xi&#x2019;an, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20859"},{"key":"ref2","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"McMahan","year":"2017"},{"key":"ref3","first-page":"8889","article-title":"Federated learning for data streams","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Marfoq","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378161"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00992"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00993"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01955"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/2656045.2656057"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2525526.2525852"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/HPCA.2008.4658633"},{"key":"ref11","first-page":"1","article-title":"On the relation between the sharpest directions of DNN loss and the SGD step length","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Jastrz\u0119bski","year":"2019"},{"key":"ref12","first-page":"1","article-title":"Critical learning periods in deep networks","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Achille","year":"2018"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICME52920.2022.9860009"},{"key":"ref14","first-page":"1764","article-title":"Semi-cyclic stochastic gradient descent","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Eichner","year":"2019"},{"key":"ref15","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Li","year":"2021"},{"key":"ref16","first-page":"5132","article-title":"SCAFFOLD: Stochastic controlled averaging for federated learning","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Karimireddy","year":"2020"},{"key":"ref17","first-page":"12073","article-title":"Federated continual learning with weighted inter-client transfer","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Yoon","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP40778.2020.9190968"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/303"},{"key":"ref20","first-page":"1","article-title":"Diurnal or nocturnal? Federated learning of multi-branch networks from periodically shifting distributions","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Zhu","year":"2021"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3631460"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3448099"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/2370216.2370438"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3580795"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3643503"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3478073"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3448125"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3631421"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3643560"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3569464"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3579371.3589066"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599293"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671613"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3592524"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3495243.3517017"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1145\/3570361.3592517"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3466772.3467038"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1145\/3641512.3686375"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3458864.3467681"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/3529706.3529714"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1145\/3498361.3538917"},{"key":"ref42","first-page":"38274","article-title":"Memorization without overfitting: Analyzing the training dynamics of large language models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Tirumala","year":"2022"},{"key":"ref43","first-page":"7308","article-title":"Understanding the role of training regimes in continual learning","author":"Mirzadeh","year":"2020"},{"key":"ref44","first-page":"119","article-title":"Zeus: Understanding and optimizing GPU energy consumption of DNN training","volume-title":"Proc. 20th USENIX Symp. Netw. Syst. Des. Implementation","author":"You","year":"2023"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/RTSS59052.2023.00033"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977172.51"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/2809695.2809718"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3666025.3699339"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3666025.3699361"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2023.3319952"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2020.103529"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3327316"},{"issue":"1","key":"ref53","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"Srivastava","year":"2014","journal-title":"J. Mach. Learn. Res."},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118421"},{"key":"ref55","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proc. Mach. Learn. Syst.","volume":"2","author":"Li","year":"2020"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1611835114"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpdc.2011.01.004"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-024-03960-3"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2024.3500382"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2020.2999956"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3487294"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2023.3292805"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2022.3144614"},{"key":"ref64","first-page":"32","article-title":"Asynchronous federated optimization","volume-title":"Proc. 12th Annu. Workshop Optim. Mach. Learning","author":"Xie","year":"2020"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/308"},{"key":"ref66","first-page":"10","article-title":"Acceleration of federated learning with alleviated forgetting in local training","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Xu","year":"2022"},{"key":"ref67","first-page":"1","article-title":"Overcoming forgetting in federated learning on non-IID data","volume-title":"Proc. NeurIPS Workshop Federated Learn. Data Privacy Confident.","author":"Shoham","year":"2019"},{"key":"ref68","article-title":"Federated learning with matched averaging","author":"Wang","year":"2020"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1002\/9781119051091"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1089\/tmj.2015.0106"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/tcomm.2024.3443731"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/tvt.2024.3466299"}],"container-title":["IEEE Transactions on Mobile Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/7755\/11511860\/11302878.pdf?arnumber=11302878","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T04:55:26Z","timestamp":1778216126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11302878\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":72,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tmc.2025.3645312","relation":{},"ISSN":["1536-1233","1558-0660","2161-9875"],"issn-type":[{"value":"1536-1233","type":"print"},{"value":"1558-0660","type":"electronic"},{"value":"2161-9875","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]}}}