{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:54:09Z","timestamp":1762509249336,"version":"3.33.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"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":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825389","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"7648-7657","source":"Crossref","is-referenced-by-count":1,"title":["Discovering Communities With Clustered Federated Learning"],"prefix":"10.1109","author":[{"given":"Micka\u00ebl","family":"Bettinelli","sequence":"first","affiliation":[{"name":"Univ. Savoie Mont Blanc,LISTIC,Annecy,France"}]},{"given":"Alexandre","family":"Benoit","sequence":"additional","affiliation":[{"name":"Univ. Savoie Mont Blanc,LISTIC,Annecy,France"}]},{"given":"K\u00e9vin","family":"Grandjean","sequence":"additional","affiliation":[{"name":"Univ. Savoie Mont Blanc,LISTIC,Annecy,France"}]}],"member":"263","reference":[{"key":"ref1","first-page":"21370","article-title":"On the distance between two neural networks and the stability of learning","volume":"33","author":"Bernstein","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207469"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3631455"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2021.3134263"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN55064.2022.9892653"},{"article-title":"Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning","volume-title":"ICML 2021 - 38th International Conference on Machine Learning","author":"Fraboni","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/tit.2022.3192506"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-76111-4_34"},{"article-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications","year":"2017","author":"Howard","key":"ref10"},{"article-title":"Measuring the effects of non-identical data distribution for federated visual classification","year":"2019","author":"Hsu","key":"ref11"},{"article-title":"Similarity of neural network models: A survey of functional and representational measures","year":"2023","author":"Klabunde","key":"ref12"},{"key":"ref13","first-page":"3519","article-title":"Similarity of neural network representations revisited","volume-title":"International conference on machine learning","author":"Kornblith"},{"key":"ref14","article-title":"Learning multiple layers of features from tiny images","volume-title":"Master\u2019s thesis","author":"Krizhevsky","year":"2009"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2011.6126534"},{"key":"ref16","article-title":"Tackling heterogeneity in federated learning systems","volume-title":"Theses","author":"Marfoq","year":"2023"},{"key":"ref17","first-page":"8889","article-title":"Federated learning for data streams","volume-title":"Proceedings of The 26th International Conference on Artificial Intelligence and Statistics","author":"Marfoq"},{"key":"ref18","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1201\/9781315373515-4"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/0377-0427(87)90125-7"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1037\/1082-989x.9.3.386"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3160699"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-41695-z"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-60548-3_15"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","start":{"date-parts":[[2024,12,15]]},"location":"Washington, DC, USA","end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825389.pdf?arnumber=10825389","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T07:55:21Z","timestamp":1737100521000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825389\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825389","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}