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05/14/2023
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling
Federated learning (FL) has recently gained much attention due to its ef...
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05/25/2022
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems
As the scale of networked control systems increases and interactions bet...
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11/21/2020
Near-Optimal Data Source Selection for Bayesian Learning
We study a fundamental problem in Bayesian learning, where the goal is t...
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04/02/2020
Distributed Hypothesis Testing and Social Learning in Finite Time with a Finite Amount of Communication
We consider the problem of distributed hypothesis testing (or social lea...
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04/02/2020
Event-Triggered Distributed Inference
We study a setting where each agent in a network receives certain privat...
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09/04/2019
A Communication-Efficient Algorithm for Exponentially Fast Non-Bayesian Learning in Networks
We introduce a simple time-triggered protocol to achieve communication-e...
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07/05/2019
A New Approach to Distributed Hypothesis Testing and Non-Bayesian Learning: Improved Learning Rate and Byzantine-Resilience
We study a setting where a group of agents, each receiving partially inf...
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03/14/2019