Incentive Designs for Learning Agents to Stabilize Coupled Exogenous Systems

no code implementations • 27 Mar 2024 • Jair Certório, Nuno C. Martins, Richard J. La, Murat Arcak

We consider a large population of learning agents noncooperatively selecting strategies from a common set, influencing the dynamics of an exogenous system (ES) we seek to stabilize at a desired equilibrium.

Epidemic Population Games And Perturbed Best Response Dynamics

no code implementations • 27 Jan 2024 • Shinkyu Park, Jair Certorio, Nuno C. Martins, Richard J. La

This paper proposes an approach to mitigate epidemic spread in a population of strategic agents by encouraging safer behaviors through carefully designed rewards.

Federated Learning with Server Learning: Enhancing Performance for Non-IID Data

no code implementations • 6 Oct 2022 • Van Sy Mai, Richard J. La, Tao Zhang

Federated Learning (FL) has emerged as a means of distributed learning using local data stored at clients with a coordinating server.

Auxiliary Learning Federated Learning

Optimal Cybersecurity Investments Using SIS Model: Weakly Connected Networks

no code implementations • 12 Apr 2022 • Van Sy Mai, Richard J. La, Abdella Battou

We study the problem of minimizing the (time) average security costs in large systems comprising many interdependent subsystems, where the state evolution is captured by a susceptible-infected-susceptible (SIS) model.

End-to-End Quality-of-Service Assurance with Autonomous Systems: 5G/6G Case Study

no code implementations • 31 Jan 2022 • Van Sy Mai, Richard J. La, Tao Zhang, Abdella Battou

This paper presents a novel framework and a distributed algorithm that can enable ANs and CNs to autonomously "cooperate" with each other to dynamically negotiate their local QoS budgets and to collectively meet E2E QoS goals by sharing only their estimates of the global constraint functions, without disclosing their local decision variables.

Distributed Optimization

Optimal Cybersecurity Investments in Large Networks Using SIS Model: Algorithm Design

no code implementations • 14 May 2020 • Van Sy Mai, Richard J. La, Abdella Battou

We study the problem of minimizing the (time) average security costs in large networks/systems comprising many interdependent subsystems, where the state evolution is captured by a susceptible-infected-susceptible (SIS) model.

Stabilizing a Queue Subject to Action-Dependent Server Performance

no code implementations • 1 Mar 2019 • Michael Lin, Richard J. La, Nuno C. Martins

We consider a discrete-time system comprising a first-come-first-served queue, a non-preemptive server, and a scheduler that governs the assignment of tasks in the queue to the server.

Applications