Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities
Authors: Zikai Zhang, Suman Rath, Jiaohao Xu, Tingsong Xiao | Published: 2024-09-16
エネルギー管理
Obsidian: Cooperative State-Space Exploration for Performant Inference on Secure ML Accelerators
Authors: Sarbartha Banerjee, Shijia Wei, Prakash Ramrakhyani, Mohit Tiwari | Published: 2024-09-04
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
Authors: Lei Xu, Yulong Chen, Yuntian Chen, Longfeng Nie, Xuetao Wei, Liang Xue, Dongxiao Zhang | Published: 2024-06-07
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy
Authors: Ghazaleh Shirvani, Saeid Ghasemshirazi | Published: 2024-05-05
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Authors: Albin Grataloup, Stefan Jonas, Angela Meyer | Published: 2023-12-18
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Authors: Zhenyong Zhang, Mengxiang Liu, Mingyang Sun, Ruilong Deng, Peng Cheng, Dusit Niyato, Mo-Yuen Chow, Jiming Chen | Published: 2023-08-30 | Updated: 2023-12-25
Intrusion Detection Systems for Flying Ad-hoc Networks
Authors: Jordan Quinn, Safdar Hussain Bouk | Published: 2023-06-08
Island-based Random Dynamic Voltage Scaling vs ML-Enhanced Power Side-Channel Attacks
Authors: Dake Chen, Christine Goins, Maxwell Waugaman, Georgios D. Dimou, Peter A. Beerel | Published: 2023-06-08 | Updated: 2023-06-13
Detecting Hidden Attackers in Photovoltaic Systems Using Machine Learning
Authors: Suman Sourav, Partha P. Biswas, Binbin Chen, Daisuke Mashima | Published: 2022-10-11
On Specification-based Cyber-Attack Detection in Smart Grids
Authors: Ömer Sen Dennis van der Velde, Maik Lühman, Florian Sprünken, Immanuel Hacker, Andreas Ulbig, Michael Andres, Martin Henze | Published: 2022-09-09