federated learning

FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 FedDiv: Collaborative Noise Filtering for Federated Learning with Noisy Labels AAAI 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning AAAI 2024 Federated Automatic Differentiation JMLR 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024 Federated Black-Box Adaptation for Semantic Segmentation NeurIPS 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Federated Combinatorial Multi-Agent Multi-Armed Bandits ICML 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 2024 Federated Document-Level Biomedical Relation Extraction with Localized Context Contrast COLING 2024 Federated Ensemble-Directed Offline Reinforcement Learning NeurIPS 2024 Federated Experiment Design under Distributed Differential Privacy AISTATS 2024 Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources NeurIPS 2024 Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024 Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024 Federated Generalized Category Discovery CVPR 2024 Federated Graph Learning for Cross-Domain Recommendation NeurIPS 2024 Federated Graph Learning under Domain Shift with Generalizable Prototypes AAAI 2024 Federated Label-Noise Learning with Local Diversity Product Regularization AAAI 2024 Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks AISTATS 2024 Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method NeurIPS 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Federated Learning via Input-Output Collaborative Distillation AAAI 2024