SOTAVerified

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 AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–50 of 311 papers

TitleStatusHype
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningCode4
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and BenchmarkCode4
FedCP: Separating Feature Information for Personalized Federated Learning via Conditional PolicyCode4
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised LearningCode3
FedModule: A Modular Federated Learning FrameworkCode2
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated LearningCode2
Adaptive Personalized Federated LearningCode2
Personalized Federated Learning with Gaussian ProcessesCode1
Personalized Federated Learning via Feature Distribution AdaptationCode1
Personalized Federated Learning with Moreau EnvelopesCode1
Personalized Federated Learning under Mixture of DistributionsCode1
Personalized Federated Learning via Variational Bayesian InferenceCode1
Personalized Federated Learning With GraphCode1
Personalized Federated Learning with First Order Model OptimizationCode1
PerAda: Parameter-Efficient Federated Learning Personalization with Generalization GuaranteesCode1
One Model to Unite Them All: Personalized Federated Learning of Multi-Contrast MRI SynthesisCode1
Personalized Federated Continual Learning via Multi-granularity PromptCode1
FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data DistributionCode1
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT ImagingCode1
On Bridging Generic and Personalized Federated Learning for Image ClassificationCode1
Optimizing Personalized Federated Learning through Adaptive Layer-Wise LearningCode1
Parameterized Knowledge Transfer for Personalized Federated LearningCode1
FedTP: Federated Learning by Transformer PersonalizationCode1
Personalized Federated Learning through Local MemorizationCode1
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-TuningCode1
Personalized Federated Learning using HypernetworksCode1
Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated LearningCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive CollaborationCode1
Personalized Federated Learning with Feature Alignment and Classifier CollaborationCode1
Confidence-aware Personalized Federated Learning via Variational Expectation MaximizationCode1
Efficient Split-Mix Federated Learning for On-Demand and In-Situ CustomizationCode1
Dual‑detector Re‑optimization for Federated Weakly Supervised Video Anomaly Detection Via Adaptive Dynamic Recursive MappingCode1
An Empirical Study of Personalized Federated LearningCode1
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian RegularizationCode1
Adaptive Test-Time Personalization for Federated LearningCode1
FedALA: Adaptive Local Aggregation for Personalized Federated LearningCode1
Exploiting Shared Representations for Personalized Federated LearningCode1
FedAS: Bridging Inconsistency in Personalized Federated LearningCode1
FedClassAvg: Local Representation Learning for Personalized Federated Learning on Heterogeneous Neural NetworksCode1
Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANsCode1
Efficient Personalized Federated Learning via Sparse Model-AdaptationCode1
Ditto: Fair and Robust Federated Learning Through PersonalizationCode1
Personalized Federated Learning with Adaptive Batchnorm for HealthcareCode1
Federated Multi-Task Learning under a Mixture of DistributionsCode1
Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-Rank DecompositionCode1
A Comprehensive View of Personalized Federated Learning on Heterogeneous Clinical DatasetsCode1
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated LearningCode1
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse TrainingCode1
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated LearningCode1
Show:102550
← PrevPage 1 of 7Next →

No leaderboard results yet.