Federated Learning with Nesterov Accelerated Gradient

18 September 2020

Albert Y. Zomaya

Papers citing "Federated Learning with Nesterov Accelerated Gradient"

25 / 25 papers shown

Title
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients Leming Shen Qiang Yang Kaiyan Cui Yuanqing Zheng Xiao-Yong Wei Jianwei Liu Jinsong Han FedML 248 11 0 28 Feb 2025
Dive into Deep Learning Aston Zhang Zachary Chase Lipton Mu Li Alexander J. Smola VLM 77 568 0 21 Jun 2021
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning Sai Praneeth Karimireddy Martin Jaggi Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 125 218 0 08 Aug 2020
On the Convergence of Nesterov's Accelerated Gradient Method in Stochastic Settings Mahmoud Assran Michael G. Rabbat 48 59 0 27 Feb 2020
Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization Zhize Li D. Kovalev Xun Qian Peter Richtárik FedML AI4CE 91 137 0 26 Feb 2020
Faster On-Device Training Using New Federated Momentum Algorithm Zhouyuan Huo Qian Yang Bin Gu Heng-Chiao Huang FedML 165 47 0 06 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 229 6,247 0 10 Dec 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 110 1,612 0 01 Nov 2019
Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation Canh T. Dinh N. H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli FedML 104 334 0 29 Oct 2019
Accelerating Federated Learning via Momentum Gradient Descent Wei Liu Li Chen Yunfei Chen Wenyi Zhang FedML AI4CE 63 293 0 08 Oct 2019
SlowMo: Improving Communication-Efficient Distributed SGD with Slow Momentum Jianyu Wang Vinayak Tantia Nicolas Ballas Michael G. Rabbat 58 201 0 01 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 239 774 0 28 Sep 2019
Client-Edge-Cloud Hierarchical Federated Learning Lumin Liu Jun Zhang S. H. Song Khaled B. Letaief FedML 79 742 0 16 May 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,168 0 14 Dec 2018
A generic framework for privacy preserving deep learning Wenbo Guo Yunzhe Tao Morten Dahl Sui Huang Masashi Sugiyama Daniel Rueckert Lin Lin FedML 102 438 0 09 Nov 2018
Fast and Faster Convergence of SGD for Over-Parameterized Models and an Accelerated Perceptron Sharan Vaswani Francis R. Bach Mark Schmidt 75 298 0 16 Oct 2018
A Unified Analysis of Stochastic Momentum Methods for Deep Learning Yan Yan Tianbao Yang Zhe Li Qihang Lin Yi Yang 38 119 0 30 Aug 2018
Cooperative SGD: A unified Framework for the Design and Analysis of Communication-Efficient SGD Algorithms Jianyu Wang Gauri Joshi 160 349 0 22 Aug 2018
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 73 605 0 17 Jul 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 242 1,706 0 14 Apr 2018
An overview of gradient descent optimization algorithms Sebastian Ruder ODL 202 6,184 0 15 Sep 2016
Unified Convergence Analysis of Stochastic Momentum Methods for Convex and Non-convex Optimization Tianbao Yang Qihang Lin Zhe Li 59 122 0 12 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 392 17,453 0 17 Feb 2016
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights Weijie Su Stephen P. Boyd Emmanuel J. Candes 157 1,166 0 04 Mar 2015
Advances in Optimizing Recurrent Networks Yoshua Bengio Nicolas Boulanger-Lewandowski Razvan Pascanu ODL 100 522 0 04 Dec 2012