{"title":"带有损坏客户端的鲁棒非对称异构联邦学习","authors":"Xiuwen Fang, Mang Ye, Bo Du","doi":"10.1109/tpami.2025.3527137","DOIUrl":null,"url":null,"abstract":"","PeriodicalId":13426,"journal":{"name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","volume":"3 1","pages":""},"PeriodicalIF":20.8000,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients\",\"authors\":\"Xiuwen Fang, Mang Ye, Bo Du\",\"doi\":\"10.1109/tpami.2025.3527137\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\",\"PeriodicalId\":13426,\"journal\":{\"name\":\"IEEE Transactions on Pattern Analysis and Machine Intelligence\",\"volume\":\"3 1\",\"pages\":\"\"},\"PeriodicalIF\":20.8000,\"publicationDate\":\"2025-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Pattern Analysis and Machine Intelligence\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.1109/tpami.2025.3527137\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Pattern Analysis and Machine Intelligence","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.1109/tpami.2025.3527137","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
期刊介绍:
The IEEE Transactions on Pattern Analysis and Machine Intelligence publishes articles on all traditional areas of computer vision and image understanding, all traditional areas of pattern analysis and recognition, and selected areas of machine intelligence, with a particular emphasis on machine learning for pattern analysis. Areas such as techniques for visual search, document and handwriting analysis, medical image analysis, video and image sequence analysis, content-based retrieval of image and video, face and gesture recognition and relevant specialized hardware and/or software architectures are also covered.