Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning

15 May 2024

Papers citing "Unmasking Efficiency: Learning Salient Sparse Models in Non-IID Federated Learning"

7 / 7 papers shown

Title
Bridging the Gap Between Foundation Models and Heterogeneous Federated Learning Sixing Yu J. P. Muñoz Ali Jannesari AI4CE 79 7 0 30 Sep 2023
Sparse Random Networks for Communication-Efficient Federated Learning Berivan Isik Francesco Pase Deniz Gunduz Tsachy Weissman M. Zorzi FedML 70 52 0 30 Sep 2022
Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity Saeed Vahidian Mahdi Morafah Bill Lin 59 58 0 02 May 2021
Communication-Efficient and Personalized Federated Lottery Ticket Learning Sejin Seo Seung-Woo Ko Jihong Park Seong-Lyun Kim M. Bennis FedML 44 15 0 26 Apr 2021
The Lottery Ticket Hypothesis for Pre-trained BERT Networks Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Zhangyang Wang Michael Carbin 150 345 0 23 Jul 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 176 326 0 19 Mar 2020
Comparing Rewinding and Fine-tuning in Neural Network Pruning Alex Renda Jonathan Frankle Michael Carbin 222 382 0 05 Mar 2020