Partial Variable Training for Efficient On-Device Federated Learning

Partial Variable Training for Efficient On-Device Federated Learning

11 October 2021

Papers citing "Partial Variable Training for Efficient On-Device Federated Learning"

18 / 18 papers shown

Title
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 22 0 0 15 Oct 2024
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training Yebo Wu Li Li Chunlin Tian Dubing Chen Chengzhong Xu FedML 19 3 0 20 Aug 2024
Federated Learning of Large ASR Models in the Real World Yonghui Xiao Yuxin Ding Changwan Ryu P. Zadrazil Francoise Beaufays AI4CE 31 0 0 19 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Wu Yebo Li Li Tian Chunlin Chang Tao Lin Chi Wang Cong Xu Cheng-Zhong FedML 26 4 0 17 Aug 2024
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 30 0 0 15 May 2024
Training-time Neuron Alignment through Permutation Subspace for Improving Linear Mode Connectivity and Model Fusion Zexi Li Zhiqi Li Jie Lin Tao Shen Tao Lin Chao Wu 28 4 0 02 Feb 2024
Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat Erdong Hu Yu-Shuen Tang Anastasios Kyrillidis C. Jermaine FedML 28 10 0 06 Sep 2023
Towards a Better Theoretical Understanding of Independent Subnetwork Training Egor Shulgin Peter Richtárik AI4CE 28 6 0 28 Jun 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training Tuo Zhang Lei Gao Sunwoo Lee Mi Zhang Salman Avestimehr FedML 26 28 0 14 Apr 2023
A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness Tiantian Feng Rajat Hebbar Nicholas Mehlman Xuan Shi Aditya Kommineni and Shrikanth Narayanan 35 31 0 18 Dec 2022
FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction Samiul Alam Luyang Liu Ming Yan Mi Zhang 23 147 0 03 Dec 2022
Federated Select: A Primitive for Communication- and Memory-Efficient Federated Learning Zachary B. Charles Kallista A. Bonawitz Stanislav Chiknavaryan H. B. McMahan Blaise Agüera y Arcas FedML 20 13 0 19 Aug 2022
Decoupled Federated Learning for ASR with Non-IID Data Hanjing Zhu Jindong Wang Gaofeng Cheng Pengyuan Zhang Yonghong Yan 17 10 0 18 Jun 2022
Online Model Compression for Federated Learning with Large Models Tien-Ju Yang Yonghui Xiao Giovanni Motta F. Beaufays Rajiv Mathews Mingqing Chen FedML MQ 28 8 0 06 May 2022
Scaling Language Model Size in Cross-Device Federated Learning Jae Hun Ro Theresa Breiner Lara McConnaughey Mingqing Chen A. Suresh Shankar Kumar Rajiv Mathews FedML 21 24 0 31 Mar 2022
Federated Domain Adaptation for ASR with Full Self-Supervision J. Jia Jay Mahadeokar Weiyi Zheng Yuan Shangguan Ozlem Kalinli Frank Seide 11 13 0 30 Mar 2022
CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and Quantization Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 11 11 0 10 Mar 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 173 411 0 14 Jul 2021