FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization

28 September 2019

Amirhossein Reisizadeh

Papers citing "FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization"

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Title
Rate Distortion Tradeoff in Private Read Update Write in Federated Submodel Learning Sajani Vithana S. Ulukus FedML 28 8 0 07 Jun 2022
On the Generalization of Wasserstein Robust Federated Learning Tung Nguyen Tuan Dung Nguyen Long Tan Le Canh T. Dinh N. H. Tran OOD FedML 21 6 0 03 Jun 2022
Private Federated Submodel Learning with Sparsification Sajani Vithana S. Ulukus FedML 24 10 0 31 May 2022
Federated Split BERT for Heterogeneous Text Classification Zhengyang Li Shijing Si Jianzong Wang Jing Xiao FedML 25 21 0 26 May 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 26 11 0 13 May 2022
Communication-Efficient Adaptive Federated Learning Yujia Wang Lu Lin Jinghui Chen FedML 21 69 0 05 May 2022
On the Convergence of Momentum-Based Algorithms for Federated Bilevel Optimization Problems Hongchang Gao FedML 18 1 0 28 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 15 9 0 26 Apr 2022
Enabling All In-Edge Deep Learning: A Literature Review Praveen Joshi Mohammed Hasanuzzaman Chandra Thapa Haithem Afli T. Scully 21 22 0 07 Apr 2022
FedSynth: Gradient Compression via Synthetic Data in Federated Learning Shengyuan Hu Jack Goetz Kshitiz Malik Hongyuan Zhan Zhe Liu Yue Liu DD FedML 29 38 0 04 Apr 2022
Byzantine-Robust Federated Linear Bandits Ali Jadbabaie Haochuan Li Jian Qian Yi Tian FedML 21 12 0 03 Apr 2022
Sparse Federated Learning with Hierarchical Personalized Models Xiaofeng Liu Qing Wang Yunfeng Shao Yinchuan Li FedML 36 11 0 25 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 25 45 0 21 Mar 2022
Communication-Efficient Federated Distillation with Active Data Sampling Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief FedML 14 25 0 14 Mar 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 34 8 0 02 Mar 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 40 8 0 24 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search Chunhui Zhang Xiaoming Yuan Qianyun Zhang Guangxu Zhu Lei Cheng Ning Zhang FedML OOD 13 15 0 23 Feb 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 19 19 0 23 Feb 2022
Distributed Learning With Sparsified Gradient Differences Yicheng Chen Rick S. Blum Martin Takáč Brian M. Sadler 18 15 0 05 Feb 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning S. Zhang Jieyu Lin Qi Zhang 35 62 0 09 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 17 7 0 06 Jan 2022
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM) Tengchan Zeng Omid Semiari Walid Saad M. Bennis 19 3 0 26 Dec 2021
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent Guanhua Ye Hongzhi Yin Tong Chen Miao Xu Quoc Viet Hung Nguyen Jiangning Song 37 9 0 17 Dec 2021
Federated Reinforcement Learning at the Edge Konstantinos Gatsis FedML 19 5 0 11 Dec 2021
Distributed Adaptive Learning Under Communication Constraints Marco Carpentiero Vincenzo Matta A. H. Sayed 17 17 0 03 Dec 2021
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 26 61 0 02 Dec 2021
A Personalized Federated Learning Algorithm: an Application in Anomaly Detection Ali Anaissi Basem Suleiman FedML 17 1 0 04 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 25 52 0 01 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 104 53 0 31 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 18 93 0 22 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 26 31 0 14 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 22 28 0 14 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 19 26 0 07 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 24 8 0 06 Oct 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 29 5 0 14 Sep 2021
Communication Optimization in Large Scale Federated Learning using Autoencoder Compressed Weight Updates Srikanth Chandar Pravin Chandran Raghavendra Bhat Avinash Chakravarthi AI4CE 26 3 0 12 Aug 2021
The Effect of Training Parameters and Mechanisms on Decentralized Federated Learning based on MNIST Dataset Zhuofan Zhang Mi Zhou K. Niu C. Abdallah FedML 44 1 0 07 Aug 2021
Communication-Efficient Federated Learning via Predictive Coding Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 22 14 0 02 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 24 74 0 23 Jul 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
Personalized Federated Learning with Gaussian Processes Idan Achituve Aviv Shamsian Aviv Navon Gal Chechik Ethan Fetaya FedML 24 98 0 29 Jun 2021
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes B. Sasidharan Anoop Thomas 23 9 0 06 May 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 23 401 0 05 Apr 2021
A Survey of Distributed Optimization Methods for Multi-Robot Systems Trevor Halsted O. Shorinwa Javier Yu Mac Schwager 23 39 0 23 Mar 2021
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 25 324 0 08 Mar 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
Federated Multi-Armed Bandits Chengshuai Shi Cong Shen FedML 58 92 0 28 Jan 2021
Faster Non-Convex Federated Learning via Global and Local Momentum Rudrajit Das Anish Acharya Abolfazl Hashemi Sujay Sanghavi Inderjit S. Dhillon Ufuk Topcu FedML 27 82 0 07 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 28 139 0 07 Dec 2020
Local SGD: Unified Theory and New Efficient Methods Eduard A. Gorbunov Filip Hanzely Peter Richtárik FedML 28 108 0 03 Nov 2020