Federated Learning

Fairness and Privacy Guarantees in Federated Contextual Bandits ACML 2024 FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning AAAI 2024 FBLG: A Local Graph Based Approach for Handling Dual Skewed Non-IID Data in Federated Learning IJCAI 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024 FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise AAAI 2024 FedAS: Bridging Inconsistency in Personalized Federated Learning CVPR 2024 FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 FedAST: Federated Asynchronous Simultaneous Training UAI 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024 FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning AAAI 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 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