63 citations · 323 across the 46 of their papers we have counts for
5 papers · 1 filter
Competitive Networked Bivirus SIS spread over Hypergraphs
Sebin Gracy, Brian D. O. Anderson, Mengbin Ye +1
The paper deals with the spread of two competing viruses over a network of population nodes, accounting for pairwise interactions and higher-order interactions (HOI) within and bet…
Adaptive Federated Learning with Auto-Tuned Clients
Junhyung Lyle Kim, Mohammad Taha Toghani, César A. Uribe +1
Federated learning (FL) is a distributed machine learning framework where the global model of a central server is trained via multiple collaborative steps by participating clients…
On First-Order Meta-Reinforcement Learning with Moreau Envelopes
Mohammad Taha Toghani, Sebastian Perez-Salazar, César A. Uribe
Meta-Reinforcement Learning (MRL) is a promising framework for training agents that can quickly adapt to new environments and tasks. In this work, we study the MRL problem under th…
Towards Understanding the Endemic Behavior of a Competitive Tri-Virus SIS Networked Model
Sebin Gracy, Mengbin Ye, Brian D. O. Anderson +1
This paper studies the endemic behavior of a multi-competitive networked susceptible-infected-susceptible (SIS) model. Specifically, the paper deals with three competing virus syst…
Multi-Competitive Virus Spread over a Time-Varying Networked SIS Model with an Infrastructure Network
Sebin Gracy, Yuan Wang, Philip E. Pare +1
We study the spread of multi-competitive viruses over a (possibly) time-varying network of individuals accounting for the presence of shared infrastructure networks that further en…