Federated Learning of Large Models at the Edge via Principal Sub-Model
Training

Federated Learning of Large Models at the Edge via Principal Sub-Model Training

28 August 2022

Salman Avestimehr

Papers citing "Federated Learning of Large Models at the Edge via Principal Sub-Model Training"

5 / 5 papers shown

Title
Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation Vasileios Tsouvalas Aaqib Saeed T. Ozcelebi N. Meratnia FedML 39 6 0 25 Jan 2024
Cuttlefish: Low-Rank Model Training without All the Tuning Hongyi Wang Saurabh Agarwal Pongsakorn U-chupala Yoshiki Tanaka Eric P. Xing Dimitris Papailiopoulos OffRL 56 21 0 04 May 2023
3LegRace: Privacy-Preserving DNN Training over TEEs and GPUs Yue Niu Ramy E. Ali Salman Avestimehr FedML 48 17 0 04 Oct 2021
Initialization and Regularization of Factorized Neural Layers M. Khodak Neil A. Tenenholtz Lester W. Mackey Nicolò Fusi 65 56 0 03 May 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 267 0 26 Feb 2021