Konstantinos Gatsis

Orcid: 0000-0002-0734-5445

According to our database1, Konstantinos Gatsis authored at least 48 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Robust optimization for adversarial learning with finite sample complexity guarantees.
CoRR, 2024

NLBAC: A Neural Ordinary Differential Equations-based Framework for Stable and Safe Reinforcement Learning.
CoRR, 2024

2023
A Barrier-Lyapunov Actor-Critic Reinforcement Learning Approach for Safe and Stable Control.
CoRR, 2023

Learning Robust State Observers using Neural ODEs.
Proceedings of the Learning for Dynamics and Control Conference, 2023

Stable and Safe Reinforcement Learning via a Barrier-Lyapunov Actor-Critic Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Scalable Forward Reachability Analysis of Multi-Agent Systems with Neural Network Controllers.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

Homomorphically Encrypted Gradient Descent Algorithms for Quadratic Programming.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Age of Information in Random Access Channels.
IEEE Trans. Inf. Theory, 2022

Model-Free design of control systems over wireless fading channels.
Signal Process., 2022

Learning Robust State Observers using Neural ODEs (longer version).
CoRR, 2022

Federated Reinforcement Learning at the Edge: Exploring the Learning-Communication Tradeoff.
Proceedings of the European Control Conference, 2022

2021
Latency-Reliability Tradeoffs for State Estimation.
IEEE Trans. Autom. Control., 2021

Cloud-Based Quadratic Optimization With Partially Homomorphic Encryption.
IEEE Trans. Autom. Control., 2021

Federated Reinforcement Learning at the Edge.
CoRR, 2021

Statistical learning for analysis of networked control systems over unknown channels.
Autom., 2021

Linear Regression over Networks with Communication Guarantees.
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Adaptive Scheduling for Machine Learning Tasks over Networks.
Proceedings of the 2021 American Control Conference, 2021

2020
State-Secrecy Codes for Networked Linear Systems.
IEEE Trans. Autom. Control., 2020

Resource Allocation in Wireless Control Systems via Deep Policy Gradient.
Proceedings of the 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2020

2019
Learning in Wireless Control Systems Over Nonstationary Channels.
IEEE Trans. Signal Process., 2019

Control Aware Radio Resource Allocation in Low Latency Wireless Control Systems.
IEEE Internet Things J., 2019

Optimal Resource Allocation in Wireless Control Systems via Deep Policy Gradient.
CoRR, 2019

Control Aware Communication Design for Time Sensitive Wireless Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Random access design for wireless control systems.
Autom., 2018

Optimization of Switched Linear Systems Over Non-Stationary Wireless Channels.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Learning Statistically Accurate Resource Allocations in Non-Stationary Wireless Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Information Matrix Approach for State Secrecy.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Sample Complexity of Networked Control Systems Over Unknown Channels.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

Scenario-Based Model Predictive Control for Energy Harvesting Actuators.
Proceedings of the 2018 Annual American Control Conference, 2018

State-Secrecy Codes for Stable Systems.
Proceedings of the 2018 Annual American Control Conference, 2018

Learning in Non-Stationary Wireless Control Systems via Newton's Method.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Wireless Control for the IoT: Power, Spectrum, and Security Challenges: Poster Abstract.
Proceedings of the Second International Conference on Internet-of-Things Design and Implementation, 2017

Battery management for control systems with energy harvesting sensors.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Resilient monotone submodular function maximization.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

State estimation codes for perfect secrecy.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017

Privacy preserving cloud-based quadratic optimization.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
State Estimation with Secrecy against Eavesdroppers.
CoRR, 2016

Control-Aware Random Access Communication.
Proceedings of the 7th ACM/IEEE International Conference on Cyber-Physical Systems, 2016

Privacy-aware quadratic optimization using partially homomorphic encryption.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

State-based communication design for wireless control systems.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015
Opportunistic Control Over Shared Wireless Channels.
IEEE Trans. Autom. Control., 2015

Control with random access wireless sensors.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Value of forecasts in planning under uncertainty.
Proceedings of the American Control Conference, 2015

2014
Optimal Power Management in Wireless Control Systems.
IEEE Trans. Autom. Control., 2014

Opportunistic scheduling of control tasks over shared wireless channels.
Proceedings of the ACM/IEEE International Conference on Cyber-Physical Systems, 2014

Opportunistic sensor scheduling in wireless control systems.
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013
Power-aware communication for wireless sensor-actuator systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2010
Mobile Robot-Assisted Cellular Environment Coverage.
Proceedings of the Artificial Intelligence Applications and Innovations, 2010


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