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Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data

Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data

Ghadir Ayache
Venkat Dassari
S. E. Rouayheb
ArXiv (abs)PDFHTML

Papers citing "Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data"

11 / 11 papers shown
Title
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Beyond Self-Repellent Kernels: History-Driven Target Towards Efficient Nonlinear MCMC on General Graphs
Jie Hu
Yi-Ting Ma
Do Young Eun
64
0
0
23 May 2025
Source Anonymity for Private Random Walk Decentralized Learning
Source Anonymity for Private Random Walk Decentralized Learning
Maximilian Egger
Svenja Lage
Rawad Bitar
Antonia Wachter-Zeh
64
0
0
11 May 2025
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Jie Hu
Yi-Ting Ma
Do Young Eun
FedML
82
1
0
26 Sep 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
Xingrun Yan
Shiyuan Zuo
Rongfei Fan
Han Hu
Li Shen
Puning Zhao
Yong Luo
FedML
89
0
0
19 Aug 2024
The Entrapment Problem in Random Walk Decentralized Learning
The Entrapment Problem in Random Walk Decentralized Learning
Zonghong Liu
S. E. Rouayheb
Matthew Dwyer
56
1
0
30 Jul 2024
Decentralized Federated Learning Over Imperfect Communication Channels
Decentralized Federated Learning Over Imperfect Communication Channels
Weicai Li
Tiejun Lv
Wei Ni
Jingbo Zhao
Ekram Hossain
H. Vincent Poor
FedML
70
5
0
21 May 2024
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks
Tan Chen
Jintao Yan
Yuxuan Sun
Sheng Zhou
Deniz Gündüz
Z. Niu
FedML
80
10
0
18 Jan 2024
Markov Chain Mirror Descent On Data Federation
Markov Chain Mirror Descent On Data Federation
Yawei Zhao
FedML
77
1
0
26 Sep 2023
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
Yoav Noah
Nir Shlezinger
56
4
0
21 Sep 2023
Data-Heterogeneous Hierarchical Federated Learning with Mobility
Data-Heterogeneous Hierarchical Federated Learning with Mobility
Tan Chen
Jintao Yan
Yuxuan Sun
Sheng Zhou
Deniz Gunduz
Z. Niu
FedML
114
3
0
19 Jun 2023
A principled framework for the design and analysis of token algorithms
A principled framework for the design and analysis of token algorithms
Aymeric Dieuleveut
FedML
79
16
0
30 May 2022