90 citations · 348 across the 53 of their papers we have counts for
8 papers · 1 filter
Asymptotic Learning Requirements for Stealth Attacks on Linearized State Estimation
Ke Sun, Iñaki Esnaola, Antonia M. Tulino +1
Information-theoretic stealth attacks are data injection attacks that minimize the amount of information acquired by the operator about the state variables, while simultaneously li…
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Hao Chen, Shaocheng Huang, Deyou Zhang +3
To leverage massive distributed data and computation resources, machine learning in the network edge is considered to be a promising technique especially for large-scale model trai…
Data-Driven Detection and Identification of IoT-Enabled Load-Altering Attacks in Power Grids
Subhash Lakshminarayana, Saurav Sthapit, Hamidreza Jahangir +2
Advances in edge computing are powering the development and deployment of Internet of Things (IoT) systems to provide advanced services and resource efficiency. However, large-scal…
Spatiotemporal Analysis for Age of Information in Random Access Networks under Last-Come First-Serve with Replacement Protocol
Howard H. Yang, Ahmed Arafa, Tony Q. S. Quek +1
We investigate the age-of-information (AoI) in the context of random access networks, in which transmitters need to send a sequence of information packets to the intended receivers…
Learning from Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing
Hao Zhou, Melike Erol-Kantarci, Vincent Poor
Network slicing is a critical technique for 5G communications that covers radio access network (RAN), edge, transport and core slicing.The evolving network architecture requires th…
Multi-Dimensional Multiple Access with Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G
Jie Mei, Wudan Han, Xianbin Wang +1
The increasingly diversified Quality-of-Service (QoS) requirements envisioned for future wireless networks call for more flexible and inclusive multiple access techniques for suppo…