Tran, Nguyen H.

Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism

Khan, L. U., Pandey, S. R., Tran, N. H., Saad, W., Han, Z., Nguyen, M. N. H., & Hong, C. S. (2020) · IEEE Communications Magazine

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 506

A Crowdsourcing Framework for On-Device Federated Learning

Pandey, S. R., Tran, N. H., Bennis, M., Tun, Y. K., Manzoor, A., & Hong, C. S. (2020) · IEEE Transactions on Wireless Communications

Privacy-Preserving Technologies in DataMobile Crowdsensing and Crowdsourcing

Cited by 318

Cell-Free Massive MIMO for Wireless Federated Learning

Vu, T. T., Ngo, D. T., Tran, N. H., Ngo, H. Q., Dao, M. N., & Middleton, R. H. (2020) · IEEE Transactions on Wireless Communications

Advanced MIMO Systems OptimizationPrivacy-Preserving Technologies in Data

Cited by 194

Federated learning-based cognitive detection of jamming attack in flying Ad-Hoc network

Mowla, N. I., Tran, N. H., Doh, I., & Chae, K. (2020) · IEEE Access

Mobile Ad Hoc NetworksSecurity in Wireless Sensor Networks

Cited by 147

AFRL: Adaptive federated reinforcement learning for intelligent jamming defense in FANET

Mowla, N. I., Tran, N. H., Doh, I., & Chae, K. (2020) · Journal of Communications and Networks

Mobile Ad Hoc NetworksUAV Applications and Optimization

Cited by 146