Performance Weighting for Robust Federated Learning Against Corrupted Sources

2 May 2022

Papers citing "Performance Weighting for Robust Federated Learning Against Corrupted Sources"

4 / 4 papers shown

Title
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 180 1 0 12 Mar 2025
Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation Xiaoxiao He Haizhou Shi Ligong Han Chaowei Tan Bo Liu Zihao Xu Meng Ye L. Axel Kang Li Dimitris N. Metaxas FedML 93 0 0 06 Jan 2025
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 80 8 0 03 Oct 2023
Secure & Private Federated Neuroimaging Dimitris Stripelis Umang Gupta Hamza Saleem Nikhil J. Dhinagar Tanmay Ghai ... Greg Ver Steeg Yu Yang Muhammad Naveed Paul M. Thompson J. Ambite FedML OOD 54 2 0 11 May 2022