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 1–25 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
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark	Dec 8, 2023	Federated LearningPersonalized Federated 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
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning	Dec 28, 2024	FairnessFederated Learning	CodeCode Available	3	5
FedModule: A Modular Federated Learning Framework	Sep 7, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	2	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
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning	Apr 3, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning	Aug 17, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning	Dec 14, 2023	Computational EfficiencyFederated Learning	CodeCode Available	1	5
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization	Mar 18, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
Efficient Personalized Federated Learning via Sparse Model-Adaptation	May 4, 2023	Federated Learningmodel	CodeCode Available	1	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
Exploiting Shared Representations for Personalized Federated Learning	Feb 14, 2021	Federated LearningMeta-Learning	CodeCode Available	1	5
Personalized Federated Learning with Adaptive Batchnorm for Healthcare	Dec 1, 2021	Federated LearningPersonalized Federated Learning	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
Ditto: Fair and Robust Federated Learning Through Personalization	Dec 8, 2020	FairnessFederated Learning	CodeCode Available	1	5
FedALA: Adaptive Local Aggregation for Personalized Federated Learning	Dec 2, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration	Sep 20, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
Adaptive Test-Time Personalization for Federated Learning	Oct 28, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization	May 21, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
FedAS: Bridging Inconsistency in Personalized Federated Learning	Jan 1, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	1	5
An Empirical Study of Personalized Federated Learning	Jun 27, 2022	BIG-bench Machine LearningFederated Learning	CodeCode Available	1	5
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive Mapping	Jun 13, 2025	Anomaly DetectionAnomaly Detection In Surveillance Videos	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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