Guard-FL: An UMAP-Assisted Robust Aggregation for Federated Learning.
IEEE Internet Things J., 2024
FBR-FL: Fair and Byzantine-Robust Federated Learning via SPD Manifold.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
FedADDP: Privacy-Preserving Personalized Federated Learning with Adaptive Dimensional Differential Privacy.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2024
Enhancing Robustness Against Heterogeneity via Class-Difficulty Based Weights.
Proceedings of the International Conference on Networking and Network Applications, 2023