{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T17:51:21Z","timestamp":1775065881332,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T00:00:00Z","timestamp":1739664000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,2,16]],"date-time":"2025-02-16T00:00:00Z","timestamp":1739664000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,2,16]]},"DOI":"10.23919\/icact63878.2025.10936775","type":"proceedings-article","created":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T03:07:30Z","timestamp":1743217650000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Relaxed Contrastive Learning for Robust Federated Models with Noisy Labels and Limited Clients"],"prefix":"10.23919","author":[{"given":"Girum Fitihamlak","family":"Ejigu","sequence":"first","affiliation":[{"name":"Kyung Hee University,Department of Computer Science and Engineering,Yongin,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Apurba","family":"Adhikary","sequence":"additional","affiliation":[{"name":"Kyung Hee University,Department of Computer Science and Engineering,Yongin,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Choong Seon","family":"Hong","sequence":"additional","affiliation":[{"name":"Kyung Hee University,Department of Computer Science and Engineering,Yongin,South Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics. PMLR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00983"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-63076-8_8"},{"key":"ref4","first-page":"127","article-title":"On noisy evaluation in federated hyperparameter tuning","volume-title":"Proceedings of Machine Learning and Systems","volume":"5","author":"Kuo"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539328"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3336050"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr52688.2022.00994"},{"key":"ref8","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref9","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"International Conference on machine learning","author":"Karimireddy"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/atc58710.2023.10318526"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01167"},{"key":"ref13","article-title":"mixup: Beyond empirical risk minimization","volume-title":"International Conference on Learning Representations","author":"Zhang"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.4135\/9781071810118"},{"key":"ref15","first-page":"862","article-title":"Towards federated learning against noisy labels via local self-regularization","volume-title":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management","author":"Jiang"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00041"},{"key":"ref17","article-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms","author":"Xiao","year":"2017"},{"issue":"2","key":"ref18","first-page":"4","article-title":"Reading digits in natural images with unsupervised feature learning","volume-title":"NIPS workshop on deep learning and unsupervised feature learning","volume":"2011","author":"Netzer"},{"key":"ref19","article-title":"Learning multiple layers of features from tiny images","volume-title":"Master\u2019s thesis, University of Tront","author":"Krizhevsky","year":"2009"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2025 27th International Conference on Advanced Communications Technology (ICACT)","location":"Pyeong Chang, Korea, Republic of","start":{"date-parts":[[2025,2,16]]},"end":{"date-parts":[[2025,2,19]]}},"container-title":["2025 27th International Conference on Advanced Communications Technology (ICACT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10936293\/10936294\/10936775.pdf?arnumber=10936775","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T08:11:06Z","timestamp":1743235866000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10936775\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,2,16]]},"references-count":20,"URL":"https:\/\/doi.org\/10.23919\/icact63878.2025.10936775","relation":{},"subject":[],"published":{"date-parts":[[2025,2,16]]}}}