Understanding and Improving Model Averaging in Federated Learning on Heterogeneous Data
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Zhou, Tailin, Lin, Zehong, Zhang, Jun, Tsang, Danny H. K. |
|---|---|
| Format: | Preprint |
| Publié: |
2023
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization
par: Zhou, Tailin, et autres
Publié: (2025)
par: Zhou, Tailin, et autres
Publié: (2025)
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
par: Zhou, Tailin, et autres
Publié: (2024)
par: Zhou, Tailin, et autres
Publié: (2024)
Bayesian Federated Model Compression for Communication and Computation Efficiency
par: Xia, Chengyu, et autres
Publié: (2024)
par: Xia, Chengyu, et autres
Publié: (2024)
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction
par: Zhang, Ziru, et autres
Publié: (2025)
par: Zhang, Ziru, et autres
Publié: (2025)
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
par: Zhang, Yipu, et autres
Publié: (2025)
par: Zhang, Yipu, et autres
Publié: (2025)
Probabilistic Federated Learning on Uncertain and Heterogeneous Data with Model Personalization
par: Rahman, Ratun, et autres
Publié: (2026)
par: Rahman, Ratun, et autres
Publié: (2026)
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors
par: Huang, Chun-Yin, et autres
Publié: (2024)
par: Huang, Chun-Yin, et autres
Publié: (2024)
Aggregation Alignment for Federated Learning with Mixture-of-Experts under Data Heterogeneity
par: Fang, Zihan, et autres
Publié: (2026)
par: Fang, Zihan, et autres
Publié: (2026)
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
par: Xie, Luyuan, et autres
Publié: (2024)
par: Xie, Luyuan, et autres
Publié: (2024)
Federated Learning on Virtual Heterogeneous Data with Local-global Distillation
par: Huang, Chun-Yin, et autres
Publié: (2023)
par: Huang, Chun-Yin, et autres
Publié: (2023)
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
par: Li, Zhilong, et autres
Publié: (2024)
par: Li, Zhilong, et autres
Publié: (2024)
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data
par: Rokvic, Ljubomir, et autres
Publié: (2025)
par: Rokvic, Ljubomir, et autres
Publié: (2025)
Federated Causal Discovery from Heterogeneous Data
par: Li, Loka, et autres
Publié: (2024)
par: Li, Loka, et autres
Publié: (2024)
FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
par: junkang, Liu, et autres
Publié: (2025)
par: junkang, Liu, et autres
Publié: (2025)
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
par: Chan, Yun-Hin, et autres
Publié: (2023)
par: Chan, Yun-Hin, et autres
Publié: (2023)
Accurate Forgetting for Heterogeneous Federated Continual Learning
par: Wuerkaixi, Abudukelimu, et autres
Publié: (2025)
par: Wuerkaixi, Abudukelimu, et autres
Publié: (2025)
On the Impact of Data Heterogeneity in Federated Learning Environments with Application to Healthcare Networks
par: Milasheuski, Usevalad, et autres
Publié: (2024)
par: Milasheuski, Usevalad, et autres
Publié: (2024)
PiXTime: A Model for Federated Time Series Forecasting with Heterogeneous Data across Nodes
par: Zhou, Yiming, et autres
Publié: (2026)
par: Zhou, Yiming, et autres
Publié: (2026)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
par: Xu, Yukai, et autres
Publié: (2024)
par: Xu, Yukai, et autres
Publié: (2024)
LCFed: An Efficient Clustered Federated Learning Framework for Heterogeneous Data
par: Zhang, Yuxin, et autres
Publié: (2025)
par: Zhang, Yuxin, et autres
Publié: (2025)
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
par: Mak, Hei Yi, et autres
Publié: (2024)
par: Mak, Hei Yi, et autres
Publié: (2024)
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast
par: Zheng, Yiting, et autres
Publié: (2025)
par: Zheng, Yiting, et autres
Publié: (2025)
Feature Distillation is the Better Choice for Model-Heterogeneous Federated Learning
par: Li, Yichen, et autres
Publié: (2025)
par: Li, Yichen, et autres
Publié: (2025)
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
par: Domini, Davide, et autres
Publié: (2025)
par: Domini, Davide, et autres
Publié: (2025)
Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
par: Peng, Hongyi, et autres
Publié: (2026)
par: Peng, Hongyi, et autres
Publié: (2026)
FedEL: Federated Elastic Learning for Heterogeneous Devices
par: Zhang, Letian, et autres
Publié: (2025)
par: Zhang, Letian, et autres
Publié: (2025)
Adaptive Guidance for Local Training in Heterogeneous Federated Learning
par: Zhang, Jianqing, et autres
Publié: (2024)
par: Zhang, Jianqing, et autres
Publié: (2024)
Efficient Federated Learning with Heterogeneous Data and Adaptive Dropout
par: Liu, Ji, et autres
Publié: (2025)
par: Liu, Ji, et autres
Publié: (2025)
FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data
par: Zhang, Yuxin, et autres
Publié: (2024)
par: Zhang, Yuxin, et autres
Publié: (2024)
Adversarial Federated Consensus Learning for Surface Defect Classification Under Data Heterogeneity in IIoT
par: Cui, Jixuan, et autres
Publié: (2024)
par: Cui, Jixuan, et autres
Publié: (2024)
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
par: Wu, Leming, et autres
Publié: (2025)
par: Wu, Leming, et autres
Publié: (2025)
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
par: Zuo, Shiyuan, et autres
Publié: (2024)
par: Zuo, Shiyuan, et autres
Publié: (2024)
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
par: Shen, Leming, et autres
Publié: (2025)
par: Shen, Leming, et autres
Publié: (2025)
Data Heterogeneity Modeling for Trustworthy Machine Learning
par: Liu, Jiashuo, et autres
Publié: (2025)
par: Liu, Jiashuo, et autres
Publié: (2025)
FedDiverse: Tackling Data Heterogeneity in Federated Learning with Diversity-Driven Client Selection
par: Németh, Gergely D., et autres
Publié: (2025)
par: Németh, Gergely D., et autres
Publié: (2025)
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
par: Huang, Chenghao, et autres
Publié: (2024)
par: Huang, Chenghao, et autres
Publié: (2024)
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
par: Zhang, Xinyu, et autres
Publié: (2023)
par: Zhang, Xinyu, et autres
Publié: (2023)
Data-centric Federated Graph Learning with Large Language Models
par: Yan, Bo, et autres
Publié: (2025)
par: Yan, Bo, et autres
Publié: (2025)
Towards Performance-Enhanced Model-Contrastive Federated Learning using Historical Information in Heterogeneous Scenarios
par: Zhang, Hongliang, et autres
Publié: (2026)
par: Zhang, Hongliang, et autres
Publié: (2026)
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
par: Kang, Honggu, et autres
Publié: (2023)
par: Kang, Honggu, et autres
Publié: (2023)
Documents similaires
-
Learning Design-Score Manifold to Guide Diffusion Models for Offline Optimization
par: Zhou, Tailin, et autres
Publié: (2025) -
Federated Prompt-based Decision Transformer for Customized VR Services in Mobile Edge Computing System
par: Zhou, Tailin, et autres
Publié: (2024) -
Bayesian Federated Model Compression for Communication and Computation Efficiency
par: Xia, Chengyu, et autres
Publié: (2024) -
Causal-Aware Intelligent QoE Optimization for VR Interaction with Adaptive Keyframe Extraction
par: Zhang, Ziru, et autres
Publié: (2025) -
Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
par: Zhang, Yipu, et autres
Publié: (2025)