{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T21:40:05Z","timestamp":1770846005991,"version":"3.50.1"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T00:00:00Z","timestamp":1759622400000},"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":[[2025,10,5]]},"DOI":"10.1109\/smc58881.2025.11343085","type":"proceedings-article","created":{"date-parts":[[2026,1,28]],"date-time":"2026-01-28T20:54:44Z","timestamp":1769633684000},"page":"700-703","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Clustering in Asynchronous Online Hierarchical Federated Learning"],"prefix":"10.1109","author":[{"given":"Nidhi","family":"Singh","sequence":"first","affiliation":[{"name":"IIT Bhilai,Department of Electrical Engineering,India"}]},{"given":"Aastha","family":"Chauhan","sequence":"additional","affiliation":[{"name":"University of Massachusetts,Amherst,USA"}]},{"given":"Vaibhav","family":"Arora","sequence":"additional","affiliation":[{"name":"INESC-ID, IST, U.,Lisboa,Portugal"}]},{"given":"Subhajit","family":"Sidhanta","sequence":"additional","affiliation":[{"name":"IIT Kharagpur,Department of Industrial Systems and Engineering,India"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Asynchronous federated optimization","author":"Xie","year":"2019"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BigData50022.2020.9378161"},{"key":"ref3","article-title":"Async-hfl: Efficient and robust asynchronous federated learning in hierarchical iot networks","author":"Huang","year":"2023"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/icc40277.2020.9148862"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2019.2944481"},{"key":"ref6","article-title":"Federated learning with non-iid data","author":"Zhao","year":"2018"},{"key":"ref7","article-title":"Federated learning with personalization layers","author":"Arivazhagan","year":"2019"},{"key":"ref8","article-title":"Continual learning with bayesian neural networks for nonstationary data","volume-title":"International Conference on Learning Representations (ICLR)","author":"Yoon"},{"key":"ref9","article-title":"Fedkd: Communication efficient federated learning via knowledge distillation","author":"Li","year":"2021"},{"key":"ref10","first-page":"119","article-title":"Machine learning with adversaries: Byzantine tolerant gradient descent","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Blanchard"},{"key":"ref11","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"Proceedings of the 37th International Conference on Machine Learning","author":"Karimireddy"}],"event":{"name":"2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","location":"Vienna, Austria","start":{"date-parts":[[2025,10,5]]},"end":{"date-parts":[[2025,10,8]]}},"container-title":["2025 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11342430\/11342431\/11343085.pdf?arnumber=11343085","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,11]],"date-time":"2026-02-11T20:52:19Z","timestamp":1770843139000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11343085\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,5]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/smc58881.2025.11343085","relation":{},"subject":[],"published":{"date-parts":[[2025,10,5]]}}}