Vo Phuc Tinh

According to our database, Vo Phuc Tinh authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

SMixSL: The Smashed-Mixture Technique for Split Learning With Localizable Features.

Vo Phuc Tinh, Tran Anh Khoa, Pham Duc Lam, Nguyen Hoang Nam, Duc Ngoc Minh Dang, Duy-Dong Le, Thai-Thinh Dang, Van-Luong Nguyen, Thanh-Qui Pham, Thai-Binh Nguyen

IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

2025

AI-Empowered IoT Data Collection via UAV in Rural Areas.

Vo Phuc Tinh, Giovanni Giambene, Paolo Barsocchi, Antonino Crivello

Proceedings of the IEEE INFOCOM 2025, 2025

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., April, 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., January, 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

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

2023

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