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2308.00522
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Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup
30 July 2023
Yan Sun
Li Shen
Hao Sun
Liang Ding
Dacheng Tao
FedML
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Papers citing
"Efficient Federated Learning via Local Adaptive Amended Optimizer with Linear Speedup"
12 / 12 papers shown
Title
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization
Diying Yang
Yingwei Hou
Danyang Xiao
Weigang Wu
FedML
34
0
0
28 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum
Yuan Zhou
Xinli Shi
Xuelong Li
Jiachen Zhong
G. Wen
Jinde Cao
FedML
39
0
0
17 Apr 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
Afsaneh Mahmoudi
Ming Xiao
Emil Björnson
46
0
0
31 Dec 2024
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
S. Chowdhury
Raju Halder
FedML
27
0
0
31 Dec 2024
Personalized Quantum Federated Learning for Privacy Image Classification
Jinjing Shi
Tian Chen
Shichao Zhang
Xuelong Li
FedML
21
0
0
03 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs
Yan Sun
Li Shen
Dacheng Tao
FedML
18
0
0
27 Sep 2024
FADAS: Towards Federated Adaptive Asynchronous Optimization
Yujia Wang
Shiqiang Wang
Songtao Lu
Jinghui Chen
FedML
21
3
0
25 Jul 2024
Locally Estimated Global Perturbations are Better than Local Perturbations for Federated Sharpness-aware Minimization
Ziqing Fan
Shengchao Hu
Jiangchao Yao
Gang Niu
Ya-Qin Zhang
Masashi Sugiyama
Yanfeng Wang
FedML
31
11
0
29 May 2024
Federated Learning with Manifold Regularization and Normalized Update Reaggregation
Xuming An
Li Shen
Han Hu
Yong Luo
FedML
28
4
0
10 Nov 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization
Yan Sun
Li Shen
Dacheng Tao
FedML
9
14
0
09 Jun 2023
SMU: smooth activation function for deep networks using smoothing maximum technique
Koushik Biswas
Sandeep Kumar
Shilpak Banerjee
A. Pandey
28
31
0
08 Nov 2021
Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration
Congliang Chen
Li Shen
Fangyu Zou
Wei Liu
33
26
0
14 Jan 2021
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