Communication-Efficient Design for Quantized Decentralized Federated Learning

15 March 2023

Papers citing "Communication-Efficient Design for Quantized Decentralized Federated Learning"

7 / 7 papers shown

Title
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks Daniel Pérez Herrera Zheng Chen Erik G. Larsson 18 1 0 24 Jan 2024
Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges Enrique Tomás Martínez Beltrán Mario Quiles Pérez Pedro Miguel Sánchez Sánchez Sergio López Bernal Gérome Bovet M. Pérez Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 35 223 0 15 Nov 2022
FedDQ: Communication-Efficient Federated Learning with Descending Quantization Linping Qu Shenghui Song Chi-Ying Tsui FedML MQ 143 26 0 05 Oct 2021
NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization Ali Ramezani-Kebrya Fartash Faghri Ilya Markov V. Aksenov Dan Alistarh Daniel M. Roy MQ 65 30 0 28 Apr 2021
IntSGD: Adaptive Floatless Compression of Stochastic Gradients Konstantin Mishchenko Bokun Wang D. Kovalev Peter Richtárik 75 14 0 16 Feb 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 0 28 Sep 2019
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