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Ternary Compression for Communication-Efficient Federated Learning

Ternary Compression for Communication-Efficient Federated Learning

7 March 2020
Jinjin Xu
W. Du
Ran Cheng
Wangli He
Yaochu Jin
    MQ
    FedML
ArXivPDFHTML

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

12 / 12 papers shown
Title
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization
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
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
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
106
26
0
23 Mar 2023
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
  Quantized Federated Learning
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
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)+
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
Optimising Communication Overhead in Federated Learning Using NSGA-II
José Á. Morell
Z. Dahi
Francisco Chicano
Gabriel Luque
Enrique Alba
FedML
16
11
0
01 Apr 2022
Communication-Efficient Federated Learning with Binary Neural Networks
Communication-Efficient Federated Learning with Binary Neural Networks
YuZhi Yang
Zhaoyang Zhang
Qianqian Yang
FedML
8
31
0
05 Oct 2021
FedJAX: Federated learning simulation with JAX
FedJAX: Federated learning simulation with JAX
Jae Hun Ro
A. Suresh
Ke Wu
FedML
22
48
0
04 Aug 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Reward-Based 1-bit Compressed Federated Distillation on Blockchain
Leon Witt
Usama Zafar
KuoYeh Shen
Felix Sattler
Dan Li
Wojciech Samek
FedML
6
4
0
27 Jun 2021
Robust Student Network Learning
Robust Student Network Learning
Tianyu Guo
Chang Xu
Shiyi He
Boxin Shi
Chao Xu
Dacheng Tao
OOD
29
30
0
30 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
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
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