Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression

14 April 2022

Papers citing "Sign Bit is Enough: A Learning Synchronization Framework for Multi-hop All-reduce with Ultimate Compression"

4 / 4 papers shown

Title
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 168 0 0 21 Apr 2025
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction Feijie Wu Xingchen Wang Yaqing Wang Tianci Liu Lu Su Jing Gao FedML 111 5 0 28 Jul 2024
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning Shiqi He Qifan Yan Feijie Wu Lanjun Wang Mathias Lécuyer Ivan Beschastnikh FedML 82 8 0 03 Dec 2022
From Deterioration to Acceleration: A Calibration Approach to Rehabilitating Step Asynchronism in Federated Optimization Feijie Wu Song Guo Yining Qi Zhihao Qu Haobo Zhang Jiewei Zhang Ziming Liu 70 11 0 17 Dec 2021