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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 131–140 of 311 papers

Title	Date	Tasks	Status	Hype
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach	Jan 16, 2024	Federated LearningGeneralization Bounds	—Unverified	0
Formal Logic Enabled Personalized Federated Learning Through Property Inference	Jan 15, 2024	Federated LearningFormal Logic	—Unverified	0
FedAS: Bridging Inconsistency in Personalized Federated Learning	Jan 1, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	1
Personalized Federated Learning with Contextual Modulation and Meta-Learning	Dec 23, 2023	Federated LearningMeta-Learning	CodeCode Available	0
Personalized Federated Learning with Attention-based Client Selection	Dec 23, 2023	Federated LearningPersonalized Federated Learning	—Unverified	0
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning	Dec 21, 2023	Domain GeneralizationFederated Learning	CodeCode Available	0
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity	Dec 20, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	0
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks	Dec 18, 2023	Federated LearningPersonalized Federated Learning	—Unverified	0
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning	Dec 14, 2023	Computational EfficiencyFederated Learning	CodeCode Available	1
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark	Dec 8, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	4

Show:10 25 50

← PrevPage 14 of 32Next →

No leaderboard results yet.