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federated learning

1320 papers

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Also known as

FL

Co-occurring keywords

distributed learning (563) communication efficiency (297) model aggregation (156) differential privacy (1010) knowledge distillation (3680) data heterogeneity (112) non-iid datum (109) privacy preservation (376) model compression (3283) distributed optimization (275)

Papers

Cooperative Pseudo Labeling for Unsupervised Federated Classification ICCV 2025
Federated Continual Instruction Tuning ICCV 2025
FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025
LoRA-FAIR: Federated LoRA Fine-Tuning with Aggregation and Initialization Refinement ICCV 2025
Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025
Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025
Exploring Vacant Classes in Label-Skewed Federated Learning AAAI 2025
DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025
An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025
LiD-FL: Towards List-Decodable Federated Learning AAAI 2025
SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025
FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025
An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025
Attribute Inference Attacks for Federated Regression Tasks AAAI 2025
MMGIA: Gradient Inversion Attack Against Multimodal Federated Learning via Intermodal Correlation IJCAI 2025
Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025
Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025
TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025
Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025
DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025