Accelerating Federated Learning via Momentum Gradient Descent

8 October 2019

Papers citing "Accelerating Federated Learning via Momentum Gradient Descent"

32 / 32 papers shown

Title
Ordered Momentum for Asynchronous SGD Chang-Wei Shi Yi-Rui Yang Wu-Jun Li ODL 62 0 0 27 Jul 2024
FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles Cyprien Quéméneur Soumaya Cherkaoui 45 3 0 05 Jun 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 41 4 0 30 May 2024
Fast Latent Factor Analysis via a Fuzzy PID-Incorporated Stochastic Gradient Descent Algorithm Liao Jinli Yuan Ye 23 1 0 07 Mar 2023
Federated Learning -- Methods, Applications and beyond Moritz Heusinger Christoph Raab Fabrice Rossi Frank-Michael Schleif FedML OOD 18 5 0 22 Dec 2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks Zhengjie Yang Sen Fu Wei Bao Dong Yuan Albert Y. Zomaya FedML 44 5 0 26 Oct 2022
FAIR-FATE: Fair Federated Learning with Momentum Teresa Salazar Miguel X. Fernandes Helder Araújo Pedro Abreu FedML 38 18 0 27 Sep 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Automating the Design and Development of Gradient Descent Trained Expert System Networks Jeremy Straub 29 9 0 04 Jul 2022
Federated Data Analytics: A Study on Linear Models Xubo Yue Raed Al Kontar Ana María Estrada Gómez FedML 29 12 0 15 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Confederated Learning: Federated Learning with Decentralized Edge Servers Bin Wang Jun Fang Hongbin Li Xiaojun Yuan Qing Ling FedML 26 23 0 30 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 23 9 0 26 Apr 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent Sotirios Nikoloutsopoulos I. Koutsopoulos Michalis K. Titsias FedML 31 9 0 20 Feb 2022
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 57 72 0 12 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Wu Xiaoyong Yuan FedML 38 47 0 08 Sep 2021
Accelerating Federated Learning with a Global Biased Optimiser Jed Mills Jia Hu Geyong Min Rui Jin Siwei Zheng Jin Wang FedML AI4CE 34 9 0 20 Aug 2021
A Decentralized Federated Learning Framework via Committee Mechanism with Convergence Guarantee Chunjiang Che Xiaoli Li Chuan Chen Xiaoyu He Zibin Zheng FedML 33 72 0 01 Aug 2021
Decentralized Federated Learning: Balancing Communication and Computing Costs Wei Liu Li Chen Wenyi Zhang FedML 19 106 0 26 Jul 2021
Gradient-Leakage Resilient Federated Learning Wenqi Wei Ling Liu Yanzhao Wu Gong Su Arun Iyengar FedML 19 81 0 02 Jul 2021
Implicit Gradient Alignment in Distributed and Federated Learning Yatin Dandi Luis Barba Martin Jaggi FedML 26 31 0 25 Jun 2021
FedCM: Federated Learning with Client-level Momentum Jing Xu Sen Wang Liwei Wang Andrew Chi-Chih Yao FedML 30 94 0 21 Jun 2021
Sample-based and Feature-based Federated Learning for Unconstrained and Constrained Nonconvex Optimization via Mini-batch SSCA Ying Cui Yangchen Li Chencheng Ye FedML 19 7 0 13 Apr 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 43 37 0 16 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 47 111 0 02 Dec 2020
Federated Learning with Nesterov Accelerated Gradient Zhengjie Yang Wei Bao Dong Yuan Nguyen H. Tran Albert Y. Zomaya FedML 19 29 0 18 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 56 158 0 17 Sep 2020
Communication Efficient Distributed Learning with Censored, Quantized, and Generalized Group ADMM Chaouki Ben Issaid Anis Elgabli Jihong Park M. Bennis Mérouane Debbah FedML 31 13 0 14 Sep 2020
Multi-Task Federated Learning for Personalised Deep Neural Networks in Edge Computing Jed Mills Jia Hu Geyong Min FedML 31 193 0 17 Jul 2020
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning Anis Elgabli Jihong Park Amrit Singh Bedi Chaouki Ben Issaid M. Bennis Vaneet Aggarwal 24 67 0 23 Oct 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018