Federated Progressive Sparsification (Purge, Merge, Tune)+

Federated Progressive Sparsification (Purge, Merge, Tune)+

26 April 2022

Dimitris Stripelis

Papers citing "Federated Progressive Sparsification (Purge, Merge, Tune)+"

10 / 10 papers shown

Title
Federated LoRA with Sparse Communication Kevin Kuo Arian Raje Kousik Rajesh Virginia Smith 38 7 0 07 Jun 2024
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
FedCode: Communication-Efficient Federated Learning via Transferring Codebooks Saeed Khalilian Gourtani Vasileios Tsouvalas T. Ozcelebi N. Meratnia FedML 28 5 0 15 Nov 2023
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging Max Zimmer Christoph Spiegel Sebastian Pokutta MoMe 41 14 0 29 Jun 2023
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 19 0 0 24 Aug 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 411 0 14 Jul 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients A. Mitra Rayana H. Jaafar George J. Pappas Hamed Hassani FedML 55 157 0 14 Feb 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks Torsten Hoefler Dan Alistarh Tal Ben-Nun Nikoli Dryden Alexandra Peste MQ 141 684 0 31 Jan 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019