Federated Learning

Elastic Aggregation for Federated Optimization CVPR 2023 FedABC: Targeting Fair Competition in Personalized Federated Learning AAAI 2023 FedDAR: Federated Domain-Aware Representation Learning ICLR 2023 Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023 Federated Learning on Non-IID Graphs via Structural Knowledge Sharing AAAI 2023 Federated Learning with Bilateral Curation for Partially Class-Disjoint Data NeurIPS 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models ACL 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 How To Prevent the Poor Performance Clients for Personalized Federated Learning? CVPR 2023 HyperFed: Hyperbolic Prototypes Exploration with Consistent Aggregation for Non-IID Data in Federated Learning IJCAI 2023 Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Lockdown: Backdoor Defense for Federated Learning with Isolated Subspace Training NeurIPS 2023 Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM NeurIPS 2023 MocoSFL: enabling cross-client collaborative self-supervised learning ICLR 2023 Multimodal Federated Learning via Contrastive Representation Ensemble ICLR 2023 On the Effectiveness of Partial Variance Reduction in Federated Learning With Heterogeneous Data CVPR 2023 On the Vulnerability of Backdoor Defenses for Federated Learning AAAI 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 Revisiting Weighted Aggregation in Federated Learning with Neural Networks ICML 2023 SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NeurIPS 2023 Solving a Class of Non-Convex Minimax Optimization in Federated Learning NeurIPS 2023 Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023