Beijing
China
Beijing University of Posts and Telecommunications
Personalized Federated learning, Model Heterogeneity, Robust Aggregation, Poisoning Attack Defense, Semantic Representation Learning
Backdoor Attack Defense, Differential Privacy, Federated learning, Secure Aggregation, Statistical Heterogeneity
Federated Learning, Long-Tailed Learning, Representation Decoupling, Sharpness-Aware Minimization, Dynamic Client Selection
Federated Learning, Model Heterogeneity, Adversarial Robustness, Knowledge Distillation, Sharpness-Aware Minimization, Efficient Channel Attention
