{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,15]],"date-time":"2026-08-15T17:38:01Z","timestamp":1786815481379,"version":"3.56.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,9]],"date-time":"2023-07-09T00:00:00Z","timestamp":1688860800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U21A20474"],"award-info":[{"award-number":["U21A20474"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,9]]},"DOI":"10.1109\/iscc58397.2023.10218040","type":"proceedings-article","created":{"date-parts":[[2023,8,28]],"date-time":"2023-08-28T17:46:48Z","timestamp":1693244808000},"page":"619-624","source":"Crossref","is-referenced-by-count":7,"title":["FedEF: Federated Learning for Heterogeneous and Class Imbalance Data"],"prefix":"10.1109","author":[{"given":"Hongyan","family":"Peng","sequence":"first","affiliation":[{"name":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tongtong","family":"Wu","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenkui","family":"Shi","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xianxian","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Normal University,Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education,Guilin,China,541004"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1597","article-title":"A simple framework for contrastive learning of visual representations","author":"chen","year":"0","journal-title":"Proc of ICML PMLR"},{"key":"ref12","first-page":"5972","article-title":"No fear of heterogeneity: Classifier calibration for federated learning with non-iid data","volume":"34","author":"luo","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref15","doi-asserted-by":"crossref","first-page":"329","DOI":"10.3233\/WEB-210476","article-title":"A federated learning based semi-supervised credit prediction approach enhanced by multi-layer label mean","volume":"19","author":"li","year":"2021","journal-title":"Web Intelligence"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01057"},{"key":"ref20","article-title":"Decoupling representation and classifier for long-tailed recognition","author":"kang","year":"0","journal-title":"Proc of ICML"},{"key":"ref11","first-page":"4059","article-title":"Fleam: A federated learning empowered architecture to mitigate ddos in industrial iot","volume":"18","author":"li","year":"2021","journal-title":"IEEE TII"},{"key":"ref10","first-page":"6050","article-title":"Stem: A stochastic two-sided momentum algorithm achieving near-optimal sample and communication complexities for federated learning","volume":"34","author":"khanduri","year":"2021","journal-title":"Advances in neural information processing systems"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.321"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00107"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616052"},{"key":"ref19","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","author":"karimireddy","year":"0","journal-title":"Proc of ICML PMLR"},{"key":"ref18","first-page":"3407","article-title":"Clustered sampling: Low-variance and improved representativity for clients selection in federated learning","author":"fraboni","year":"0","journal-title":"Proc of ICML PMLR"},{"key":"ref8","first-page":"12878","article-title":"Data-free knowledge distillation for het-erogeneous federated learning","author":"zhu","year":"0","journal-title":"Proc of ICML PMLR"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00987"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467254"},{"key":"ref4","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":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.04.027"},{"key":"ref6","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"li","year":"2020","journal-title":"Proc of Machine Learning and Systems"},{"key":"ref5","first-page":"582","article-title":"Federated learning with non-iid data","author":"zhao","year":"2018","journal-title":"ArXiv Preprint"}],"event":{"name":"2023 IEEE Symposium on Computers and Communications (ISCC)","location":"Gammarth, Tunisia","start":{"date-parts":[[2023,7,9]]},"end":{"date-parts":[[2023,7,12]]}},"container-title":["2023 IEEE Symposium on Computers and Communications (ISCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10217219\/10217829\/10218040.pdf?arnumber=10218040","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,9,25]],"date-time":"2023-09-25T17:50:56Z","timestamp":1695664256000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10218040\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,9]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/iscc58397.2023.10218040","relation":{},"subject":[],"published":{"date-parts":[[2023,7,9]]}}}