Q‐learning for continuous‐time graphical games on large networks with completely unknown linear system dynamics
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.3719
Abstract: Summary In this paper, we consider the problem of leader synchronization in systems with interacting agents in large networks while simultaneously satisfying energy-related user-defined distributed optimization criteria. But modeling in large networks is very difficult,… read more here.
Keywords: large networks; learning continuous; system; control ... See more keywords
Practical characterization of large networks using neighborhood information
Sign Up to like & getrecommendations! Published in 2018 at "Knowledge and Information Systems"
DOI: 10.1007/s10115-018-1167-0
Abstract: Characterizing large complex networks such as online social networks through node querying is a challenging task. Network service providers often impose severe constraints on the query rate, hence limiting the sample size to a small… read more here.
Keywords: large networks; information; neighborhood information; characterization large ... See more keywords
Prediction and mitigation of nonlocal cascading failures using graph neural networks.
Sign Up to like & getrecommendations! Published in 2022 at "Chaos"
DOI: 10.1063/5.0107420
Abstract: Cascading failures in electrical power grids, comprising nodes and links, propagate nonlocally. After a local disturbance, successive resultant can be distant from the source. Since avalanche failures can propagate unexpectedly, care must be taken when… read more here.
Keywords: large networks; cascading failures; graph neural; avalanche ... See more keywords
Approximating nonbacktracking centrality and localization phenomena in large networks.
Sign Up to like & getrecommendations! Published in 2021 at "Physical review. E"
DOI: 10.1103/physreve.104.054306
Abstract: Message-passing theories have proved to be invaluable tools in studying percolation, nonrecurrent epidemics, and similar dynamical processes on real-world networks. At the heart of the message-passing method is the nonbacktracking matrix, whose largest eigenvalue, the… read more here.
Keywords: large networks; nonbacktracking centrality; message passing; approximating nonbacktracking ... See more keywords
Quality of Service Oriented Access Point Selection Framework for Large Wi-Fi Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Network and Service Management"
DOI: 10.1109/tnsm.2017.2678021
Abstract: This paper addresses the problem of access point (AP) selection in large Wi-Fi networks. Unlike current solutions that rely on received signal strength to determine the best AP that could serve a wireless user’s request,… read more here.
Keywords: large networks; access point; framework; quality service ... See more keywords
A Deep Learning Game Theoretic Model for Defending Against Large Scale Smart Grid Attacks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Smart Grid"
DOI: 10.1109/tsg.2022.3199187
Abstract: Power grids that are interdependent with communication networks create more possible modes of failure (e.g., cyberattacks) as well as more complex propagation of failure through the coupled networks. To ensure robust defense of smart grids,… read more here.
Keywords: large networks; game theoretic; deep learning; model ... See more keywords