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An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity

29 April 2024
Yuan Wang
Huazhu Fu
Renuga Kanagavelu
Qingsong Wei
Yong Liu
Rick Siow Mong Goh
    FedML
ArXiv (abs)PDFHTML

Papers citing "An Aggregation-Free Federated Learning for Tackling Data Heterogeneity"

9 / 9 papers shown
Title
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
Kevin Kuo
Chhavi Yadav
Virginia Smith
FedML
156
0
0
14 Oct 2025
High-Energy Concentration for Federated Learning in Frequency Domain
High-Energy Concentration for Federated Learning in Frequency Domain
Haozhi Shi
Weiying Xie
Hangyu Ye
Daixun Li
Jitao Ma
Yunsong Li
Leyuan Fang
FedML
128
0
0
16 Sep 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments
Junming Liu
Yanting Gao
Siyuan Meng
Yifei Sun
Aoqi Wu
Yufei Jin
Yirong Chen
Botian Shi
Guosun Zeng
245
2
0
26 May 2025
Distribution-Aware Mobility-Assisted Decentralized Federated Learning
Distribution-Aware Mobility-Assisted Decentralized Federated Learning
Md. Farhamdur Reza
Reza Jahani
Richeng Jin
H. Dai
163
1
0
24 May 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-World LoRA
Jieming Bian
Lei Wang
Letian Zhang
Jie Xu
338
7
0
14 Mar 2025
Subgraph Federated Learning for Local GeneralizationInternational Conference on Learning Representations (ICLR), 2025
Sungwon Kim
Yoonho Lee
Yunhak Oh
Namkyeong Lee
Sukwon Yun
Junseok Lee
Sein Kim
Carl Yang
Chanyoung Park
FedMLOOD
265
4
0
06 Mar 2025
FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language ModelsIEEE Geoscience and Remote Sensing Magazine (GRSM), 2025
Hui Lin
Chao Zhang
Danfeng Hong
Kexin Dong
Congcong Wen
FedMLVLM
239
12
0
05 Jan 2025
Tackling Data Heterogeneity in Federated Time Series Forecasting
Tackling Data Heterogeneity in Federated Time Series Forecasting
Wei Yuan
Guanhua Ye
Xiangyu Zhao
Quoc Viet Hung Nguyen
Yang Cao
Hongzhi Yin
AI4TS
313
6
0
24 Nov 2024
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic
  Learning
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic LearningScientific Reports (Sci Rep), 2023
Niklas Babendererde
Moritz Fuchs
Camila González
Yuri Tolkach
Anirban Mukhopadhyay
OODFedML
175
5
0
01 Sep 2023
1