FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update

20 August 2021

Xin Guo

Papers citing "FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update"

3 / 3 papers shown

Title
Moss: Proxy Model-based Full-Weight Aggregation in Federated Learning with Heterogeneous Models Y. Cai Ziqi Zhang Ding Li Yao Guo Xiangqun Chen 55 0 0 13 Mar 2025
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning Sangmook Kim Wonyoung Shin Soohyuk Jang Hwanjun Song Se-Young Yun 34 2 0 03 May 2022
Distilling Critical Paths in Convolutional Neural Networks Fuxun Yu Zhuwei Qin Xiang Chen 26 21 0 28 Oct 2018