Logit Calibration for Non-IID and Long-Tailed Data in Federated Learning

被引：0
|
作者：
Wang, Huan [1 ]
Wang, Lijuan [1 ]
Shen, Jun [2 ]
机构：
[1] School of Cyber Engineering, Xidian University, Xi'an, China
[2] School of Computing & Information Technology, University of Wollongong, Wollongong, Australia
来源：
Proceedings - 20th IEEE International Symposium on Parallel and Distributed Processing with Applications, 12th IEEE International Conference on Big Data and Cloud Computing, 12th IEEE International Conference on Sustainable Computing and Communications and 15th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2022 | 2022年
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
20th IEEE International Symposium on Parallel and Distributed Processing with Applications, 12th IEEE International Conference on Big Data and Cloud Computing, 12th IEEE International Conference on Sustainable Computing and Communications and 15th IEEE International Conference on Social Computing and Networking, ISPA/BDCloud/SocialCom/SustainCom 2022
中图分类号：
学科分类号：
摘要：
Benchmarking - Data privacy - Distillation - Global optimization - Learning systems
引用
收藏
页码：782 / 789
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