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FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from
  System Perspective

FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective

6 October 2021
Huan Zhang
Mi Zhang
Xin Liu
P. Mohapatra
Michael DeLucia
    FedML
ArXivPDFHTML

Papers citing "FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective"

10 / 10 papers shown
Title
DistDD: Distributed Data Distillation Aggregation through Gradient
  Matching
DistDD: Distributed Data Distillation Aggregation through Gradient Matching
Peiran Wang
Haohan Wang
FedML
DD
16
0
0
11 Oct 2024
How to Privately Tune Hyperparameters in Federated Learning? Insights
  from a Benchmark Study
How to Privately Tune Hyperparameters in Federated Learning? Insights from a Benchmark Study
Natalija Mitic
Apostolos Pyrgelis
Sinem Sav
FedML
42
1
0
25 Feb 2024
FedPop: Federated Population-based Hyperparameter Tuning
FedPop: Federated Population-based Hyperparameter Tuning
Haokun Chen
Denis Krompass
Jindong Gu
Volker Tresp
FedML
24
0
0
16 Aug 2023
On Noisy Evaluation in Federated Hyperparameter Tuning
On Noisy Evaluation in Federated Hyperparameter Tuning
Kevin Kuo
Pratiksha Thaker
M. Khodak
John Nguyen
Daniel Jiang
Ameet Talwalkar
Virginia Smith
FedML
27
8
0
17 Dec 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huan Zhang
Lei Fu
Mi Zhang
Pengfei Hu
Xiuzhen Cheng
P. Mohapatra
Xin Liu
FedML
13
5
0
24 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
15
115
0
03 Nov 2022
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization
Zhen Wang
Weirui Kuang
Ce Zhang
Bolin Ding
Yaliang Li
FedML
18
13
0
08 Jun 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient
  Package for Federated Graph Learning
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
11
77
0
12 Apr 2022
A Field Guide to Federated Optimization
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
167
410
0
14 Jul 2021
Federated Evaluation and Tuning for On-Device Personalization: System
  Design & Applications
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
167
124
0
16 Feb 2021
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