{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T18:10:38Z","timestamp":1772043038892,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,3]],"date-time":"2024-12-03T00:00:00Z","timestamp":1733184000000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,3]]},"DOI":"10.1109\/bibm62325.2024.10822510","type":"proceedings-article","created":{"date-parts":[[2025,1,10]],"date-time":"2025-01-10T20:12:45Z","timestamp":1736539965000},"page":"3625-3628","source":"Crossref","is-referenced-by-count":1,"title":["Classifier Retraining with Gaussian-distributed Prototypes for Class-Imbalanced Federated Medical Image Classification"],"prefix":"10.1109","author":[{"given":"Haiwei","family":"Pan","sequence":"first","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}]},{"given":"Chunling","family":"Chen","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}]},{"given":"Kejia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}]},{"given":"Zhe","family":"Li","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}]},{"given":"Fengming","family":"Yu","sequence":"additional","affiliation":[{"name":"Harbin Engineering University,College of Computer Science and Technology,Harbin,China"}]}],"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"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2024.3407584"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i15.29617"},{"key":"ref4","article-title":"An agnostic approach to federated learning with class imbalance","volume-title":"International Conference on Learning Representations","author":"Shen"},{"key":"ref5","first-page":"41354","article-title":"Fed-cbs: A heterogeneity-aware client sampling mechanism for federated learning via class-imbalance reduction","volume-title":"International Conference on Machine Learning","author":"Zhang"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i11.17219"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/308"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-43895-0_65"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-47401-9_32"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86340-1_39"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20819"},{"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":"ref13","article-title":"No peek: A survey of private distributed deep learning","author":"Vepakomma","year":"2018"},{"key":"ref14","first-page":"5315","article-title":"Flamby: Datasets and benchmarks for cross-silo federated learning in realistic healthcare settings","volume":"35","author":"Ogier du Terrail","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2018.2867350"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2022.3192483"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01087"},{"key":"ref20","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"}],"event":{"name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Lisbon, Portugal","start":{"date-parts":[[2024,12,3]]},"end":{"date-parts":[[2024,12,6]]}},"container-title":["2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10821710\/10821711\/10822510.pdf?arnumber=10822510","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,15]],"date-time":"2025-01-15T19:34:48Z","timestamp":1736969688000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10822510\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,3]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bibm62325.2024.10822510","relation":{},"subject":[],"published":{"date-parts":[[2024,12,3]]}}}