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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

TransFed: A Way To Epitomize Focal Modulation Using Transformer-Based Federated Learning WACV 2024
Machine Unlearning: Challenges in Data Quality and Access IJCAI 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning NIPS 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning WACV 2024
Trustworthy Machine Learning under Imperfect Data IJCAI 2024
$\texttt{pfl-research}$: simulation framework for accelerating research in Private Federated Learning NIPS 2024
A Survey on Efficient Federated Learning Methods for Foundation Model Training IJCAI 2024
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective AAAI 2024
Knowledge Distillation in Federated Learning: A Practical Guide IJCAI 2024
Federated Prompt Learning for Weather Foundation Models on Devices IJCAI 2024
Multi-Dimensional Fair Federated Learning AAAI 2024
Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast COLING 2024
Personalized Federated Learning for Cross-City Traffic Prediction IJCAI 2024
Traceable Federated Continual Learning CVPR 2024
FedES: Federated Early-Stopping for Hindering Memorizing Heterogeneous Label Noise IJCAI 2024
Federated Learning with Extremely Noisy Clients via Negative Distillation AAAI 2024
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning IJCAI 2024
PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning AAAI 2024
Randomized Exploration in Cooperative Multi-Agent Reinforcement Learning NIPS 2024
FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024
UFDA: Universal Federated Domain Adaptation with Practical Assumptions AAAI 2024
Late to the Party? On-Demand Unlabeled Personalized Federated Learning WACV 2024
FedLF: Layer-Wise Fair Federated Learning AAAI 2024
From Optimization to Generalization: Fair Federated Learning against Quality Shift via Inter-Client Sharpness Matching IJCAI 2024