federated learning

Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 Meta Knowledge Condensation for Federated Learning ICLR 2023 MGIA: Mutual Gradient Inversion Attack in Multi-Modal Federated Learning (Student Abstract) AAAI 2023 Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training? JMLR 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Multi-Metrics Adaptively Identifies Backdoors in Federated Learning ICCV 2023 Multimodal Deep Generative Models for Remote Medical Applications AAAI 2023 Multimodal Federated Learning via Contrastive Representation Ensemble ICLR 2023 Multiply Robust Federated Estimation of Targeted Average Treatment Effects NeurIPS 2023 Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection NeurIPS 2023 No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier ICCV 2023 No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation ICML 2023 Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023 One-Pass Distribution Sketch for Measuring Data Heterogeneity in Federated Learning NeurIPS 2023 One-Shot Federated Conformal Prediction ICML 2023 On Generalization of Decentralized Learning with Separable Data AISTATS 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Importance and Applicability of Pre-Training for Federated Learning ICLR 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Out-of-Distribution Generalization of Federated Learning via Implicit Invariant Relationships ICML 2023 Panning for Gold in Federated Learning: Targeted Text Extraction under Arbitrarily Large-Scale Aggregation ICLR 2023 Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023