Poster "heterogeneous clients" Papers

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FedRA: A Random Allocation Strategy for Federated Tuning to Unleash the Power of Heterogeneous Clients

Shangchao Su, Bin Li, Xiangyang Xue

ECCV 2024arXiv:2311.11227

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning

Wenke Huang, Mang Ye, zekun shi et al.

Recurrent Early Exits for Federated Learning with Heterogeneous Clients

Royson Lee, Javier Fernandez-Marques, Xu Hu et al.

ICML 2024arXiv:2405.14791

Rethinking the Flat Minima Searching in Federated Learning

Taehwan Lee, Sung Whan Yoon