A Transfer Learning Approach to Breast Cancer Classification in a Federated Learning Framework. - Y. Nguyen Tan; Vo Phuc Tinh; Pham Duc Lam; Nguyen Hoang Nam; Tran Anh Khoa (IEEE Access, 2023)

Joint Federated Learning Using Deep Segmentation and the Gaussian Mixture Model for Breast Cancer Tumors. - Nguyen Tan-Y; Pham Duc Lam; Vo Phuc Tinh; Duy-Dong Le; Nguyen Hoang Nam; Tran Anh Khoa (IEEE Access, 2024)

CroSSHeteroFL: Cross-Stratified Sampling Composition-Fitting to Federated Learning for Heterogeneous Clients. - Vo Phuc Tinh; Hoang Hai Son; Nguyen Hoang Nam; Duc Ngoc Minh Dang; Duy-Dong Le; Thai-Binh Nguyen; Thanh-Qui Pham; Van-Luong Nguyen; Duy-Thanh Huynh; Tran Anh Khoa (IEEE Access, 2024)

A novel solution for energy-saving and lifetime-maximizing of LoRa wireless mesh networks. - Hoang Hai Son; Vo Phuc Tinh; Duc Ngoc Minh Dang; Bui Thi Duyen; Duy-Dong Le; Thai-Thinh Dang; Nguyen Quoc Hung; Thanh-Qui Pham; Van-Luong Nguyen; Tran Anh Khoa; Nguyen Hoang Nam (J. Inf. Telecommun., 2024)

Safety Is Our Friend: A Federated Learning Framework Toward Driver's State and Behavior Detection. - Tran Anh Khoa; Nguyen Dang Trac; Vo Phuc Tinh; Hoang Nam Nguyen; Duc Ngoc Minh Dang; Hoang Hai Son; Pham Duc Lam (IEEE Trans. Comput. Soc. Syst., 2024)