Ternary Compression for Communication-Efficient Federated Learning

Ternary Compression for Communication-Efficient Federated Learning

7 March 2020

Ran Cheng

Papers citing "Ternary Compression for Communication-Efficient Federated Learning"

10 / 10 papers shown

Title
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 34 0 0 28 Apr 2025
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Yang Li Chunhe Xia Wei Liu 29 0 0 21 Nov 2023
FS-Real: Towards Real-World Cross-Device Federated Learning Daoyuan Chen Dawei Gao Yuexiang Xie Xuchen Pan Zitao Li Yaliang Li Bolin Ding Jingren Zhou 103 26 0 23 Mar 2023
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning Hua Ma Qun Li Yifeng Zheng Zhi Zhang Xiaoning Liu Yan Gao S. Al-Sarawi Derek Abbott FedML 11 3 0 19 Jul 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 8 28 0 08 Jun 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 8 9 0 26 Apr 2022
Optimising Communication Overhead in Federated Learning Using NSGA-II José Á. Morell Z. Dahi Francisco Chicano Gabriel Luque Enrique Alba FedML 14 11 0 01 Apr 2022
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 8 31 0 05 Oct 2021
Robust Student Network Learning Tianyu Guo Chang Xu Shiyi He Boxin Shi Chao Xu Dacheng Tao OOD 26 30 0 30 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 136 1,663 0 14 Apr 2018