Federated Learning

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 Graph Learning for Cross-Domain Recommendation NeurIPS 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 Federated Linear Contextual Bandits with Heterogeneous Clients AISTATS 2024 Federated Modality-Specific Encoders and Multimodal Anchors for Personalized Brain Tumor Segmentation AAAI 2024 Federated Model Heterogeneous Matryoshka Representation Learning NeurIPS 2024 Federated Multi-View Clustering via Tensor Factorization IJCAI 2024 Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning NeurIPS 2024 Federated Online Adaptation for Deep Stereo CVPR 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups NeurIPS 2024 Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning ICLR 2024 Federated Q-Learning: Linear Regret Speedup with Low Communication Cost ICLR 2024 Federated Recommendation with Additive Personalization ICLR 2024 Federated Text-driven Prompt Generation for Vision-Language Models ICLR 2024 Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data NeurIPS 2024 Federated Wasserstein Distance ICLR 2024