65 citations · 108 across the 5 of their papers we have counts for
5 papers
Embodied AI in 6G Networks: From Intelligent Connectivity to Physical Intelligence
Junaid Sajid, Sheikh Salman Hassan, Wenshuai Liu +7
Embodied artificial intelligence (AI) couples perception and learned decision making to actions that change the physical world. This coupling distinguishes an embodied agent from a…
Federated Learning with Nesterov Accelerated Gradient
Zhengjie Yang, Wei Bao, Dong Yuan +2
Federated learning (FL) is a fast-developing technique that allows multiple workers to train a global model based on a distributed dataset. Conventional FL (FedAvg) employs gradien…
Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach
Md. Shirajum Munir, Sarder Fakhrul Abedin, Nguyen H. Tran +3
In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consum…
Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach
Sarder Fakhrul Abedin, Md. Shirajum Munir, Nguyen H. Tran +2
In this paper, we design a navigation policy for multiple unmanned aerial vehicles (UAVs) where mobile base stations (BSs) are deployed to improve the data freshness and connectivi…
Multi-Dimensional Payment Plan in Fog Computing with Moral Hazard
Yanru Zhang, Nguyen H. Tran, Dusit Niyato +1
Recently, the concept of fog computing which aims at providing time-sensitive data services has become popular. In this model, computation is performed at the edge of the network i…