Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout

11 September 2023

Papers citing "Towards Federated Learning Under Resource Constraints via Layer-wise Training and Depth Dropout"

5 / 5 papers shown

Title
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training Ye Lin Tun Chu Myaet Thwal Minh N. H. Nguyen Choong Seon Hong 48 0 0 22 Jul 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 40 2 0 22 Jan 2024
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 Feb 2021
Ternary Compression for Communication-Efficient Federated Learning Jinjin Xu W. Du Ran Cheng Wangli He Yaochu Jin MQ FedML 42 174 0 07 Mar 2020