{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:53:32Z","timestamp":1784138012652,"version":"3.55.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":["62002302,61872307,61672444,U21A20514,N_HKBU214\/21"],"award-info":[{"award-number":["62002302,61872307,61672444,U21A20514,N_HKBU214\/21"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003392","name":"Natural Science Foundation of Fujian Province","doi-asserted-by":"publisher","award":["2020J01005"],"award-info":[{"award-number":["2020J01005"]}],"id":[{"id":"10.13039\/501100003392","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,7,18]]},"DOI":"10.1109\/icme52920.2022.9860009","type":"proceedings-article","created":{"date-parts":[[2022,8,26]],"date-time":"2022-08-26T19:45:18Z","timestamp":1661543118000},"page":"1-6","source":"Crossref","is-referenced-by-count":46,"title":["FEDIC: Federated Learning on Non-IID and Long-Tailed Data via Calibrated Distillation"],"prefix":"10.1109","author":[{"given":"Xinyi","family":"Shang","sequence":"first","affiliation":[{"name":"Xiamen University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yang","family":"Lu","sequence":"additional","affiliation":[{"name":"Xiamen University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiu-Ming","family":"Cheung","sequence":"additional","affiliation":[{"name":"Hong Kong Baptist University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hanzi","family":"Wang","sequence":"additional","affiliation":[{"name":"Xiamen University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","first-page":"7611","article-title":"Tackling the objective inconsistency problem in heterogeneous federated optimization","author":"wang","year":"0","journal-title":"NeurIPS"},{"key":"ref11","article-title":"Measuring the effects of non-identical data distribution for federated visual classification","author":"harry hsu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref12","article-title":"Deep long-tailed learning: A survey","author":"zhang","year":"2021","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2008.239"},{"key":"ref14","first-page":"95","article-title":"Remix: Rebalanced mixup","author":"chou","year":"0","journal-title":"ECCV"},{"key":"ref15","first-page":"1567","article-title":"Meta-weight-net: Learning an explicit mapping for sample weighting","author":"shu","year":"0","journal-title":"NeurIPS"},{"key":"ref16","first-page":"1","article-title":"Decoupling representation and classifier for long-tailed recognition","author":"kang","year":"0","journal-title":"ICLRE"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2020.3009406"},{"key":"ref18","first-page":"10165","article-title":"Addressing class imbalance in federated learning","author":"wang","year":"0","journal-title":"AAAI"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-45014-9_1"},{"key":"ref4","article-title":"Federated learning with non-iid data","author":"zhao","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref3","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"mcmahan","year":"2017","journal-title":"AISTATS"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428075"},{"key":"ref5","first-page":"429","article-title":"Federated optimization in heterogeneous networks","author":"li","year":"2020","journal-title":"Mach Learn"},{"key":"ref8","first-page":"2351","article-title":"Ensemble distillation for robust model fusion in federated learning","author":"lin","year":"0","journal-title":"NeurIPS"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428189"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref9","first-page":"1","article-title":"Fedbe: Making bayesian model ensemble applicable to federated learning","author":"chen","year":"0","journal-title":"ICLRE"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICME46284.2020.9102960"},{"key":"ref20","article-title":"Distilling the knowledge in a neural network","author":"hinton","year":"2015","journal-title":"ArXiv Preprint"},{"key":"ref22","first-page":"32","article-title":"Learning multiple layers of features from tiny images","author":"alex","year":"2009","journal-title":"Tech Rep"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00239"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref23","first-page":"1567","article-title":"Learning imbalanced datasets with label-distribution-aware margin loss","author":"cao","year":"0","journal-title":"NeurIPS"},{"key":"ref25","article-title":"Fed-focal loss for imbalanced data classification in federated learning","author":"sarkar","year":"2020","journal-title":"ArXiv Preprint"}],"event":{"name":"2022 IEEE International Conference on Multimedia and Expo (ICME)","location":"Taipei, Taiwan","start":{"date-parts":[[2022,7,18]]},"end":{"date-parts":[[2022,7,22]]}},"container-title":["2022 IEEE International Conference on Multimedia and Expo (ICME)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9859562\/9858923\/09860009.pdf?arnumber=9860009","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,9,19]],"date-time":"2022-09-19T20:24:14Z","timestamp":1663619054000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9860009\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/icme52920.2022.9860009","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}