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 1–10 of 311 papers

Title	Date	Tasks	Status	Hype	Score
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning	Aug 20, 2023	FairnessFederated Learning	CodeCode Available	4	5
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy	Jul 1, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	4	5
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark	Dec 8, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	4	5
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning	Dec 28, 2024	FairnessFederated Learning	CodeCode Available	3	5
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning	Oct 8, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	2	5
Adaptive Personalized Federated Learning	Mar 30, 2020	Bilevel OptimizationFederated Learning	CodeCode Available	2	5
FedModule: A Modular Federated Learning Framework	Sep 7, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	2	5
Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated Learning	Dec 16, 2020	Federated LearningIntrusion Detection	CodeCode Available	1	5
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank Decomposition	Jun 28, 2024	Federated LearningGeneral Knowledge	CodeCode Available	1	5
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training	Jun 1, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5

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