 Improved Bounds for Pure Private Agnostic Learning: Item-Level and User-Level PrivacyInternational Conference on Machine Learning (ICML), 2024 |
 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware
Submodel ExtractionNeural Information Processing Systems (NeurIPS), 2024 |
 A collaborative ensemble construction method for federated random forestExpert systems with applications (ESWA), 2024 |
 Low-Resource Machine Translation through the Lens of Personalized
Federated LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2024 |
