Learning Paradigms

FedDGL: Federated Dynamic Graph Learning for Temporal Evolution and Data Heterogeneity ACML 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 Causal Discovery from Heterogeneous Data ICLR 2024 Federated Causality Learning with Explainable Adaptive Optimization AAAI 2024 Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users AAAI 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 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 Federated Learning with Extremely Noisy Clients via Negative 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 Partial Label Learning with Local-Adaptive Augmentation and Regularization AAAI 2024