Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression

26 April 2021

Papers citing "Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression"

8 / 8 papers shown

Title
Communication-Efficient Federated Low-Rank Update Algorithm and its Connection to Implicit Regularization Haemin Park Diego Klabjan FedML 32 0 0 19 Sep 2024
Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees Steffen Schotthöfer M. P. Laiu FedML 37 4 0 25 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 31 1 0 30 May 2024
Timely Asynchronous Hierarchical Federated Learning: Age of Convergence Purbesh Mitra Sennur Ulukus FedML 19 0 0 21 Jun 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping study Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 23 8 0 09 Jan 2023
FedNet2Net: Saving Communication and Computations in Federated Learning with Model Growing A. Kundu J. JáJá FedML 17 3 0 19 Jul 2022
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 8 114 0 13 Aug 2021
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