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03/29/2023
Federated Stochastic Bandit Learning with Unobserved Context
We study the problem of federated stochastic multi-arm contextual bandit...
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07/28/2022
Distributed Stochastic Bandit Learning with Context Distributions
We study the problem of distributed stochastic multi-arm contextual band...
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04/18/2022
Fully-Decentralized Alternating Projected Gradient Descent for Low Rank column-wise Compressive Sensing
This work develops a provably accurate fully-decentralized fast and comm...
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03/29/2022
Stochastic Conservative Contextual Linear Bandits
Many physical systems have underlying safety considerations that require...
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12/26/2021
Fully Decentralized and Federated Low Rank Compressive Sensing
In this work we develop a fully decentralized, federated, and fast solut...
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07/24/2020
Stochastic Dynamic Information Flow Tracking Game using Supervised Learning for Detecting Advanced Persistent Threats
Advanced persistent threats (APTs) are organized prolonged cyberattacks ...
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06/30/2020
A Multi-Agent Reinforcement Learning Approach for Dynamic Information Flow Tracking Games for Advanced Persistent Threats
Advanced Persistent Threats (APTs) are stealthy attacks that threaten th...
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06/22/2020
Dynamic Information Flow Tracking for Detection of Advanced Persistent Threats: A Stochastic Game Approach
Advanced Persistent Threats (APTs) are stealthy customized attacks by in...
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11/14/2018
A Game Theoretic Approach for Dynamic Information Flow Tracking to Detect Multi-Stage Advanced Persistent Threats
Advanced Persistent Threats (APTs) infiltrate cyber systems and compromi...
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10/27/2017
