Comfetch: Federated Learning of Large Networks on Constrained Clients
via Sketching

Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching

17 September 2021

Tahseen Rabbani

Brandon Yushan Feng

Marco Bornstein

Furong Huang

Papers citing "Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching"

4 / 4 papers shown

Title
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 34 6 0 25 Jan 2024
DoCoFL: Downlink Compression for Cross-Device Federated Learning Ron Dorfman S. Vargaftik Y. Ben-Itzhak Kfir Y. Levy FedML 24 18 0 01 Feb 2023
EF21-P and Friends: Improved Theoretical Communication Complexity for Distributed Optimization with Bidirectional Compression Kaja Gruntkowska A. Tyurin Peter Richtárik 38 21 0 30 Sep 2022
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 0 28 Sep 2019