most citedDFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning

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cs.LG2024

Privacy-Preserving Federated Learning with Consistency via Knowledge Distillation Using Conditional Generator

Kangyang Luo, Shuai Wang, Xiang Li +3

Federated Learning (FL) is gaining popularity as a distributed learning framework that only shares model parameters or gradient updates and keeps private data locally. However, FL…