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2205.13925
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DELTA: Diverse Client Sampling for Fasting Federated Learning
27 May 2022
Lung-Chuang Wang
Yongxin Guo
Tao R. Lin
Xiaoying Tang
FedML
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Papers citing
"DELTA: Diverse Client Sampling for Fasting Federated Learning"
16 / 16 papers shown
Title
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
Haoran Zhang
Zejun Gong
Zekai Li
Marie Siew
Carlee Joe-Wong
Rachid El-Azouzi
26
0
0
07 Apr 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning
Bicheng Ying
Zhe Li
Haibo Yang
FedML
68
0
0
25 Mar 2025
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
54
1
0
25 Jan 2025
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel Gutiérrez
David Solans
Mikko A. Heikkilä
A. Vitaletti
Nicolas Kourtellis
Aris Anagnostopoulos
I. Chatzigiannakis
OOD
82
0
0
19 Nov 2024
FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
Zhichao Wang
Lin Wang
Yongxin Guo
Ying-Jun Angela Zhang
Xiaoying Tang
FedML
15
0
0
26 Oct 2024
The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy
Jiating Ma
Yipeng Zhou
Qi Li
Quan Z. Sheng
Laizhong Cui
Jiangchuan Liu
FedML
23
0
0
16 Aug 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning
Lin Wang
Yang Chen
Yongxin Guo
Xiaoying Tang
FedML
41
0
0
05 Jul 2024
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing
Yongxin Guo
Lin Wang
Xiaoying Tang
Tao R. Lin
FedML
OOD
27
0
0
25 May 2024
FedRec+: Enhancing Privacy and Addressing Heterogeneity in Federated Recommendation Systems
Lin Wang
Zhichao Wang
Xi Leng
Xiaoying Tang
10
1
0
31 Oct 2023
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance
Dun Zeng
Zenglin Xu
Yu Pan
Xu Luo
Qifan Wang
Xiaoying Tang
FedML
10
1
0
04 Oct 2023
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning
Yuchang Sun
Zehong Lin
Yuyi Mao
Shi Jin
Jinchao Zhang
24
11
0
26 May 2023
Entropy-driven Fair and Effective Federated Learning
Lung-Chuang Wang
Zhichao Wang
Sai Praneeth Karimireddy
Xiaoying Tang
Xiaoying Tang
FedML
25
9
0
29 Jan 2023
CC-FedAvg: Computationally Customized Federated Averaging
Hao Zhang
Tingting Wu
Siyao Cheng
Jie Liu
FedML
10
5
0
28 Dec 2022
LOCKS: User Differentially Private and Federated Optimal Client Sampling
Ajinkya Mulay
FedML
12
0
0
26 Dec 2022
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
173
410
0
14 Jul 2021
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
50
91
0
28 Jan 2021
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