PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management-Reference-Cited by-同舟云学术

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PFDRL: Personalized Federated Deep Reinforcement Learning for Residential Energy Management

Published:2023-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 52nd International Conference on Parallel Processing
language:
Short-container-title:

Author:

Gao Jiechao¹^ORCID,Wang Wenpeng¹^ORCID,Nikseresht Fateme¹^ORCID,Govinda Rajan Viswajith¹^ORCID,Campbell Bradford¹^ORCID

Affiliation:

1. University of Virginia, United States of America

Funder

NobleReach

Commonwealth Cyber Initiative

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605573.3605641

Reference34 articles.

1. 2020. Energy Information Administration. https://www.eia.gov/ ( 2020 ). 2020. Energy Information Administration. https://www.eia.gov/ (2020).

2. 2020. Texas Electricity Rates. https://comparepower.com ( 2020 ). 2020. Texas Electricity Rates. https://comparepower.com (2020).

3. 2021. Dataport Database. https://dataport.pecanstreet.org. 2021. Dataport Database. https://dataport.pecanstreet.org.

4. 2021. Help Net Security.https://www.helpnetsecurity.com ( 2021 ). 2021. Help Net Security.https://www.helpnetsecurity.com (2021).

5. U. Aivodji . 2019 . IOTFLA: A secured and privacy-preserving smart home architecture implementing federated learning. In SPW. U. Aivodji. 2019. IOTFLA: A secured and privacy-preserving smart home architecture implementing federated learning. In SPW.

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