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Federated Learning

551 directly classified papers

Papers per year

Papers

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025
pFedRAG: A Personalized Federated Retrieval-Augmented Generation System with Depth-Adaptive Tiered Embedding Tuning EMNLP 2025
Federated Prompt-Tuning with Heterogeneous and Incomplete Multimodal Client Data ICCV 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis AAAI 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
Learn How to Query from Unlabeled Data Streams in Federated Learning AAAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
Pilot: Building the Federated Multimodal Instruction Tuning Framework AAAI 2025
Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025
Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025
Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025
Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025
Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025
Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025
Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025