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Personalized Federated Learning

The federated learning setup presents numerous challenges including data heterogeneity (differences in data distribution), device heterogeneity (in terms of computation capabilities, network connection, etc.), and communication efficiency. Especially data heterogeneity makes it hard to learn a single shared global model that applies to all clients. To overcome these issues, Personalized Federated Learning (PFL) aims to personalize the global model for each client in the federation.

Papers

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Showing 71–80 of 311 papers

Title	Date	Tasks	Status	Score
Low-Resource Machine Translation through the Lens of Personalized Federated Learning	Jun 18, 2024	Federated LearningMachine Translation	CodeCode Available	5
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning	Feb 10, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	5
Sparse Personalized Federated Learning	Jul 12, 2021	DiversityFederated Learning	CodeCode Available	5
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing	Nov 28, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	5
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme	Apr 24, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	5
Fusion of Global and Local Knowledge for Personalized Federated Learning	Feb 21, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	5
FHBench: Towards Efficient and Personalized Federated Learning for Multimodal Healthcare	Apr 15, 2025	BenchmarkingDiagnostic	CodeCode Available	5
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism	Sep 1, 2024	Bayesian OptimizationEvent Detection	CodeCode Available	5
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	Dec 21, 2023	Domain GeneralizationFederated Learning	CodeCode Available	5
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity	Dec 20, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	5

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