In-context Cross-Density Adaptation on Noisy Mammogram Abnormalities Detection

no code implementations • 12 Jun 2023 • Huy T. Nguyen, Thinh B. Lam, Quan D. D. Tran, Minh T. Nguyen, Dat T. Chung, Vinh Q. Dinh

This paper investigates the impact of breast density distribution on the generalization performance of deep-learning models on mammography images using the VinDr-Mammo dataset.

Domain Adaptation object-detection +1

Dynamic Network Service Selection in Intelligent Reflecting Surface-Enabled Wireless Systems: Game Theory Approaches

no code implementations • 11 Mar 2021 • Nguyen Thi Thanh Van, Nguyen Cong Luong, Feng Shaohan, Huy T. Nguyen, Kun Zhu, Thien Van Luong, Dusit Niyato

To formulate the SP and network service selection, we adopt an evolutionary game in which the users are able to adapt their network selections depending on the utilities that they achieve.

Computer Science and Game Theory

Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach

no code implementations • 21 Oct 2019 • Huy T. Nguyen, Nguyen Cong Luong, Jun Zhao, Chau Yuen, Dusit Niyato

However, federated learning faces the energy constraints of the workers and the high network resource cost due to the fact that a number of global model transmissions may be required to achieve the target accuracy.

Federated Learning Reinforcement Learning (RL)