1 citations · 1 across the 11 of their papers we have counts for
6 papers · 1 filter
Generative AI for RF Sensing in IoT systems
Li Wang, Chao Zhang, Qiyang Zhao +5
The development of wireless sensing technologies, using signals such as Wi-Fi, infrared, and RF to gather environmental data, has significantly advanced within Internet of Things (…
Large Language Models for Power Scheduling: A User-Centric Approach
Thomas Mongaillard, Samson Lasaulce, Othman Hicheur +6
While traditional optimization and scheduling schemes are designed to meet fixed, predefined system requirements, future systems are moving toward user-driven approaches and person…
Strategic Federated Learning: Application to Smart Meter Data Clustering
Hassan Mohamad, Chao Zhang, Samson Lasaulce +3
Federated learning (FL) involves several clients that share with a fusion center (FC), the model each client has trained with its own data. Conventional FL, which can be interprete…
Goal-Oriented State Information Compression for Linear Dynamical System Control
Li Wang, Chao Zhang, Samson Lasaulce +2
In this paper, we consider controlled linear dynamical systems in which the controller has only access to a compressed version of the system state. The technical problem we investi…
A game theory analysis of decentralized epidemic management with opinion dynamics
Olivier Lindamulage De Silva, Samson Lasaulce, Irinel-Constantin Morarescu +1
In this paper, we introduce a static game that allows one to numerically assess the loss of efficiency induced by decentralized control or management of a global epidemic. Each pla…
Goal-oriented compression for -norm-type goal functions: Application to power consumption scheduling
Yifei Sun, Hang Zou, Chao Zhang +2
Conventional data compression schemes aim at implementing a trade-off between the rate required to represent the compressed data and the resulting distortion between the original a…