[HTML][HTML] Deep learning for intelligent demand response and smart grids: A comprehensive survey

P Boopathy, M Liyanage, N Deepa, M Velavali… - Computer Science …, 2024 - Elsevier
Electricity is one of the mandatory commodities for mankind today. To address challenges
and issues in the transmission of electricity through the traditional grid, the concepts of smart …

Security and privacy in federated learning: A survey

DR Kandati, S Anusha - Trends in Computer Science and …, 2023 - engineegroup.us
Federated Learning (FL) allows multiple nodes without actually sharing data with other
confidential nodes to retrain a common model. This is particularly relevant in healthcare …

Value of Information: A Comprehensive Metric for Client Selection in Federated Edge Learning

Y Zou, S Shen, M Xiao, P Li, D Yu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Federated edge learning (FEEL) is a novel paradigm that enables privacy-preserving and
distributed machine learning on end devices. However, FEEL faces challenges from …

A Security-Oriented Overview of Federated Learning Utilizing Layered Reference Model

J Lu, N Fukumoto, A Nakao - IEEE Access, 2024 - ieeexplore.ieee.org
With the continuous development of Artificial Intelligence (AI), AI services are becoming
increasingly influential in society, affecting both individual lives and enterprise production …