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09/04/2023
Homomorphically encrypted gradient descent algorithms for quadratic programming
In this paper, we evaluate the different fully homomorphic encryption sc...
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04/08/2023
A Barrier-Lyapunov Actor-Critic Reinforcement Learning Approach for Safe and Stable Control
Reinforcement learning (RL) has demonstrated impressive performance in v...
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12/01/2022
Learning Robust State Observers using Neural ODEs (longer version)
Relying on recent research results on Neural ODEs, this paper presents a...
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12/11/2021
Federated Reinforcement Learning at the Edge
Modern cyber-physical architectures use data collected from systems at d...
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03/06/2021
Linear Regression over Networks with Communication Guarantees
A key functionality of emerging connected autonomous systems such as sma...
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01/25/2021
Adaptive Scheduling for Machine Learning Tasks over Networks
A key functionality of emerging connected autonomous systems such as sma...
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12/03/2019
Age of Information in Random Access Channels
In applications of remote sensing, estimation, and control, timely commu...
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11/08/2019
Statistical Learning for Analysis of Networked Control Systems over Unknown Channels
Recent control trends are increasingly relying on communication networks...
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10/28/2018
Latency-Reliability Tradeoffs for State Estimation
The emerging interest in low-latency high-reliability applications, such...
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09/07/2018
Cloud-based Quadratic Optimization with Partially Homomorphic Encryption
The development of large-scale distributed control systems has led to th...
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03/21/2017
