Ternary Compression for Communication-Efficient Federated Learning

7 March 2020

Ran Cheng

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

21 / 21 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 39 0 0 28 Apr 2025
FBChain: A Blockchain-based Federated Learning Model with Efficiency and Secure Communication Yang Li Chunhe Xia Wei Liu 35 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 114 26 0 23 Mar 2023
Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning Alphan Șahin FedML 28 14 0 13 Oct 2022
Green, Quantized Federated Learning over Wireless Networks: An Energy-Efficient Design Minsu Kim Walid Saad Mohammad Mozaffari Merouane Debbah FedML MQ 23 27 0 19 Jul 2022
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 37 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 16 28 0 08 Jun 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 17 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 22 11 0 01 Apr 2022
TinyMLOps: Operational Challenges for Widespread Edge AI Adoption Sam Leroux Pieter Simoens Meelis Lootus Kartik Thakore Akshay Sharma 19 16 0 21 Mar 2022
Vertical Federated Principal Component Analysis and Its Kernel Extension on Feature-wise Distributed Data Y. Cheung Juyong Jiang F. Yu Jian Lou FedML 27 12 0 03 Mar 2022
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning Irem Ergun Hasin Us Sami Başak Güler FedML 28 25 0 23 Dec 2021
Communication-Efficient Federated Learning with Binary Neural Networks YuZhi Yang Zhaoyang Zhang Qianqian Yang FedML 24 31 0 05 Oct 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 33 48 0 04 Aug 2021
Reward-Based 1-bit Compressed Federated Distillation on Blockchain Leon Witt Usama Zafar KuoYeh Shen Felix Sattler Dan Li Wojciech Samek FedML 26 4 0 27 Jun 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 51 243 0 29 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 35 401 0 05 Apr 2021
EventGraD: Event-Triggered Communication in Parallel Machine Learning Soumyadip Ghosh B. Aquino V. Gupta FedML 21 8 0 12 Mar 2021
Stochastic-Sign SGD for Federated Learning with Theoretical Guarantees Richeng Jin Yufan Huang Xiaofan He H. Dai Tianfu Wu FedML 22 63 0 25 Feb 2020
Robust Student Network Learning Tianyu Guo Chang Xu Shiyi He Boxin Shi Chao Xu Dacheng Tao OOD 34 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 144 1,687 0 14 Apr 2018