Adaptive Model Pruning and Personalization for Federated Learning over
Wireless Networks

Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks

4 September 2023

Yonina C. Eldar

Papers citing "Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks"

15 / 15 papers shown

Title
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 77 11 0 29 May 2023
Federated Learning with Partial Model Personalization Krishna Pillutla Kshitiz Malik Abdel-rahman Mohamed Michael G. Rabbat Maziar Sanjabi Lin Xiao FedML 78 166 0 08 Apr 2022
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 96 556 0 03 Oct 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning Dingzhu Wen M. Bennis Kaibin Huang 55 48 0 10 Mar 2020
Federated Learning with Personalization Layers Manoj Ghuhan Arivazhagan V. Aggarwal Aaditya Kumar Singh Sunav Choudhary FedML 87 840 0 02 Dec 2019
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 72 692 0 06 Nov 2019
Model Pruning Enables Efficient Federated Learning on Edge Devices Yuang Jiang Shiqiang Wang Victor Valls Bongjun Ko Wei-Han Lee Kin K. Leung Leandros Tassiulas 68 462 0 26 Sep 2019
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 71 1,190 0 17 Sep 2019
Importance Estimation for Neural Network Pruning Pavlo Molchanov Arun Mallya Stephen Tyree I. Frosio Jan Kautz 3DPC 78 882 0 25 Jun 2019
SNIP: Single-shot Network Pruning based on Connection Sensitivity Namhoon Lee Thalaiyasingam Ajanthan Philip Torr VLM 257 1,205 0 04 Oct 2018
To prune, or not to prune: exploring the efficacy of pruning for model compression Michael Zhu Suyog Gupta 194 1,276 0 05 Oct 2017
Exploring Sparsity in Recurrent Neural Networks Sharan Narang Erich Elsen G. Diamos Shubho Sengupta 40 312 0 17 Apr 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 310 6,681 0 08 Jun 2015
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming Saeed Ghadimi Guanghui Lan ODL 120 1,550 0 22 Sep 2013