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A Historical Trajectory Assisted Optimization Method for Zeroth-Order
  Federated Learning
v1v2v3v4v5 (latest)

A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning

24 September 2024
Chenlin Wu
Xiaoyu He
Zike Li
Zibin Zheng
Zibin Zheng
    FedML
ArXiv (abs)PDFHTML

Papers citing "A Historical Trajectory Assisted Optimization Method for Zeroth-Order Federated Learning"

12 / 12 papers shown
Title
FedZeN: Towards superlinear zeroth-order federated learning via
  incremental Hessian estimation
FedZeN: Towards superlinear zeroth-order federated learning via incremental Hessian estimation
A. Maritan
S. Dey
Luca Schenato
FedML
75
6
0
29 Sep 2023
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
FedALA: Adaptive Local Aggregation for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
87
229
0
02 Dec 2022
Generalizing Gaussian Smoothing for Random Search
Generalizing Gaussian Smoothing for Random Search
Katelyn Gao
Ozan Sener
70
14
0
27 Nov 2022
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without
  Gradients
Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients
Hualin Zhang
Huan Xiong
Bin Gu
85
9
0
04 Oct 2022
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning
  in Federated Learning
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning
Haodong Zhao
Wei Du
Fang Li
Peixuan Li
Gongshen Liu
FedML
48
72
0
25 Aug 2022
Communication-Efficient Stochastic Zeroth-Order Optimization for
  Federated Learning
Communication-Efficient Stochastic Zeroth-Order Optimization for Federated Learning
Wenzhi Fang
Ziyi Yu
Yuning Jiang
Yuanming Shi
Colin N. Jones
Yong Zhou
FedML
121
60
0
24 Jan 2022
Tackling System and Statistical Heterogeneity for Federated Learning
  with Adaptive Client Sampling
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Bing Luo
Wenli Xiao
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
97
176
0
21 Dec 2021
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic
  Optimization
Adaptive Sampling Quasi-Newton Methods for Zeroth-Order Stochastic Optimization
Raghu Bollapragada
Stefan M. Wild
70
12
0
24 Sep 2021
Adaptive Federated Optimization
Adaptive Federated Optimization
Sashank J. Reddi
Zachary B. Charles
Manzil Zaheer
Zachary Garrett
Keith Rush
Jakub Konecný
Sanjiv Kumar
H. B. McMahan
FedML
190
1,452
0
29 Feb 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
289
8,928
0
25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized
  Data
Communication-Efficient Learning of Deep Networks from Decentralized Data
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
FedML
414
17,615
0
17 Feb 2016
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic
  Programming
Stochastic First- and Zeroth-order Methods for Nonconvex Stochastic Programming
Saeed Ghadimi
Guanghui Lan
ODL
124
1,562
0
22 Sep 2013
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