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 21–30 of 311 papers

Title	Date	Tasks	Status	Hype
FedALA: Adaptive Local Aggregation for Personalized Federated Learning	Dec 2, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1
FedAS: Bridging Inconsistency in Personalized Federated Learning	Jan 1, 2024	Federated LearningPersonalized Federated Learning	CodeCode Available	1
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training	Jun 1, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1
Ditto: Fair and Robust Federated Learning Through Personalization	Dec 8, 2020	FairnessFederated Learning	CodeCode Available	1
An Empirical Study of Personalized Federated Learning	Jun 27, 2022	BIG-bench Machine LearningFederated Learning	CodeCode Available	1
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning	Aug 17, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1
Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated Learning	Dec 16, 2020	Federated LearningIntrusion Detection	CodeCode Available	1
FedTP: Federated Learning by Transformer Personalization	Nov 3, 2022	Federated LearningPersonalized Federated Learning	CodeCode Available	1
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration	Sep 20, 2023	Federated LearningPersonalized Federated Learning	CodeCode Available	1
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

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