EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency-Reference-Cited by-同舟云学术

EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency

Published:2023-05-09 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023)
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Author:

Odema Mohanad¹^ORCID,Ferlez James¹^ORCID,Vaisi Goli²^ORCID,Shoukry Yasser¹^ORCID,Al Faruque Mohammad Abdullah¹^ORCID

Affiliation:

1. Department of Electrical Engineering and Computer Sciences, University of California, Irvine, Irvine, CA, United States of America

2. Department of Electrical Engineering and Computer Sciences, University of California, Irvine, Irvine, CA, USA

Funder

National Science Foundation

C3.ai Digital Transformation Institute

Publisher

ACM

Reference39 articles.

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4. Felix Berkenkamp , Matteo Turchetta , Angela P. Schoellig , and Andreas Krause . 2017 . Safe Model-Based Reinforcement Learning with Stability Guarantees . In Proceedings of the 31st International Conference on Neural Information Processing Systems. Curran Associates Inc., NY, USA, 908--919 . Felix Berkenkamp, Matteo Turchetta, Angela P. Schoellig, and Andreas Krause. 2017. Safe Model-Based Reinforcement Learning with Stability Guarantees. In Proceedings of the 31st International Conference on Neural Information Processing Systems. Curran Associates Inc., NY, USA, 908--919.

5. Romanus

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