FedGTST: Boosting Global Transferability of Federated Models via Statistics Tuning

被引：0
|
作者：
Ma, Evelyn [1 ]
Etesami, Rasoul [1 ]
Pan, Chao [1 ]
Zhao, Han [1 ]
Milenkovic, Olgica [1 ]
机构：
[1] University of Illinois at Urbana-Champaign, United States
来源：
arXiv |
关键词：
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Adversarial machine learning - Data privacy - Transfer learning
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