Cover Image

Disentangling data distribution for Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xinyuan, Gu, Hanlin, Fan, Lixin, Han, Yuxing, Yang, Qiang
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unlearning during Learning: An Efficient Federated Machine Unlearning Method
by: Gu, Hanlin, et al.
Published: (2024)

A Survey on Contribution Evaluation in Vertical Federated Learning
by: Cui, Yue, et al.
Published: (2024)

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning
by: Kang, Yan, et al.
Published: (2022)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
by: Huang, Jianjun, et al.
Published: (2024)

Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
by: Duan, Moming, et al.
Published: (2021)

Efficient Federated Learning against Byzantine Attacks and Data Heterogeneity via Aggregating Normalized Gradients
by: Zuo, Shiyuan, et al.
Published: (2024)

HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
by: Guo, Zhuoning, et al.
Published: (2024)

Federated Learning with Bilateral Curation for Partially Class-Disjoint Data
by: Fan, Ziqing, et al.
Published: (2024)

FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
by: Duan, Moming, et al.
Published: (2020)

Event-Driven Online Vertical Federated Learning
by: Wang, Ganyu, et al.
Published: (2025)

Review of Mathematical Optimization in Federated Learning
by: Yang, Shusen, et al.
Published: (2024)

Federated Neural Architecture Search with Model-Agnostic Meta Learning
by: Huang, Xinyuan, et al.
Published: (2025)

Analytic Personalized Federated Meta-Learning
by: Gu, Shunxian, et al.
Published: (2025)

Communication and Computation Efficient Split Federated Learning in O-RAN
by: Gu, Shunxian, et al.
Published: (2025)

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)

AIGC-assisted Federated Learning for Edge Intelligence: Architecture Design, Research Challenges and Future Directions
by: Qiang, Xianke, et al.
Published: (2025)

Apodotiko: Enabling Efficient Serverless Federated Learning in Heterogeneous Environments
by: Chadha, Mohak, et al.
Published: (2024)

Asynchronous Personalized Federated Learning through Global Memorization
by: Wan, Fan, et al.
Published: (2025)

Timely Parameter Updating in Over-the-Air Federated Learning
by: Zhu, Jiaqi, et al.
Published: (2025)

FairGFL: Privacy-Preserving Fairness-Aware Federated Learning with Overlapping Subgraphs
by: Zhou, Zihao, et al.
Published: (2025)

Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2024)

Balancing Similarity and Complementarity for Federated Learning
by: Yan, Kunda, et al.
Published: (2024)

Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning
by: Ji, Shaoxiong, et al.
Published: (2021)

Federated Model Heterogeneous Matryoshka Representation Learning
by: Yi, Liping, et al.
Published: (2024)

SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning
by: Yang, Yuning, et al.
Published: (2024)

Vertical Federated Learning: Challenges, Methodologies and Experiments
by: Wei, Kang, et al.
Published: (2022)

Convergence Analysis of Split Federated Learning on Heterogeneous Data
by: Han, Pengchao, et al.
Published: (2024)

Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
by: Wu, Jiajun, et al.
Published: (2023)

FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning
by: Han, Pengchao, et al.
Published: (2023)

FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
by: Hou, Qijun, et al.
Published: (2026)

Efficient Model Compression for Hierarchical Federated Learning
by: Zhu, Xi, et al.
Published: (2024)

Federated Learning in the Presence of Adversarial Client Unavailability
by: Su, Lili, et al.
Published: (2023)

Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
by: Zhang, Tinghao, et al.
Published: (2024)

GAS: Generative Activation-Aided Asynchronous Split Federated Learning
by: Yang, Jiarong, et al.
Published: (2024)

STHFL: Spatio-Temporal Heterogeneous Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)

TabVFL: Improving Latent Representation in Vertical Federated Learning
by: Rashad, Mohamed, et al.
Published: (2024)

Robust Federated Learning with Global Sensitivity Estimation for Financial Risk Management
by: Zhao, Lei, et al.
Published: (2025)

Federated Learning under Partially Class-Disjoint Data via Manifold Reshaping
by: Fan, Ziqing, et al.
Published: (2024)

Communication-Efficient Multimodal Federated Learning: Joint Modality and Client Selection
by: Yuan, Liangqi, et al.
Published: (2024)

LoGoFair: Post-Processing for Local and Global Fairness in Federated Learning
by: Zhang, Li, et al.
Published: (2025)