144 citations · 306 across the 7 of their papers we have counts for
15 papers
Federated Learning with Correlated Data: Taming the Tail for Age-Optimal Industrial IoT
Chen-Feng Liu, Mehdi Bennis
While information delivery in industrial Internet of things demands reliability and latency guarantees, the freshness of the controller's available information, measured by the age…
Age-Optimal Power Allocation in Industrial IoT: A Risk-Sensitive Federated Learning Approach
Yung-Lin Hsu, Chen-Feng Liu, Sumudu Samarakoon +2
This work studies a real-time environment monitoring scenario in the industrial Internet of things, where wireless sensors proactively collect environmental data and transmit it to…
Data-Driven Predictive Scheduling in Ultra-Reliable Low-Latency Industrial IoT: A Generative Adversarial Network Approach
Chen-Feng Liu, Mehdi Bennis
To date, model-based reliable communication with low latency is of paramount importance for time-critical wireless control systems. In this work, we study the downlink (DL) control…
Predictive Control and Communication Co-Design: A Gaussian Process Regression Approach
Abanoub M. Girgis, Jihong Park, Chen-Feng Liu +1
While Remote control over wireless connections is a key enabler for scalable control systems consisting of multiple actuator-sensor pairs, i.e., control systems, it entails two tec…
Optimized Age of Information Tail for Ultra-Reliable Low-Latency Communications in Vehicular Networks
Mohamed K. Abdel-Aziz, Sumudu Samarakoon, Chen-Feng Liu +2
While the notion of age of information (AoI) has recently been proposed for analyzing ultra-reliable low-latency communications (URLLC), most of the existing works have focused on…
Risk-Sensitive Task Fetching and Offloading for Vehicular Edge Computing
Sadeep Batewela, Chen-Feng Liu, Mehdi Bennis +2
This letter studies an ultra-reliable low latency communication problem focusing on a vehicular edge computing network in which vehicles either fetch and synthesize images recorded…