Communication-Efficient Federated Learning with Adaptive Compression
under Dynamic Bandwidth

Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth

6 May 2024

Papers citing "Communication-Efficient Federated Learning with Adaptive Compression under Dynamic Bandwidth"

11 / 11 papers shown

Title
FedDUAP: Federated Learning with Dynamic Update and Adaptive Pruning Using Shared Data on the Server Hong Zhang Ji Liu Juncheng Jia Yang Zhou H. Dai Dejing Dou FedML 27 45 0 25 Apr 2022
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning Divyansh Jhunjhunwala Advait Gadhikar Gauri Joshi Yonina C. Eldar FedML MQ 28 108 0 08 Feb 2021
Client Selection and Bandwidth Allocation in Wireless Federated Learning Networks: A Long-Term Perspective Jie Xu Heqiang Wang 34 350 0 09 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 181 42,038 0 03 Dec 2019
Enhancing the Privacy of Federated Learning with Sketching Zaoxing Liu Tian Li Virginia Smith Vyas Sekar FedML 36 20 0 05 Nov 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 47 454 0 26 Sep 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 41 1,343 0 07 Mar 2019
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 91 1,410 0 03 Dec 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 102 1,394 0 05 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 116 8,807 0 25 Aug 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 267 4,620 0 18 Oct 2016