Threats, attacks and defenses to federated learning: issues, taxonomy and perspectives
Abstract Empirical attacks on Federated Learning (FL) systems indicate that FL is fraught
with numerous attack surfaces throughout the FL execution. These attacks can not only …
with numerous attack surfaces throughout the FL execution. These attacks can not only …
Review on security of federated learning and its application in healthcare
Artificial intelligence (AI) has led to a high rate of development in healthcare, and good
progress has been made on many complex medical problems. However, there is a lack of …
progress has been made on many complex medical problems. However, there is a lack of …
A federated feature selection algorithm based on particle swarm optimization under privacy protection
Y Hu, Y Zhang, X Gao, D Gong, X Song, Y Guo… - Knowledge-Based …, 2023 - Elsevier
Feature selection is an important preprocessing technique in the fields of data mining and
machine learning. With the promotion of privacy protection awareness, recently it becomes a …
machine learning. With the promotion of privacy protection awareness, recently it becomes a …
[HTML][HTML] Data sharing in energy systems
Big data has been advocated as a dominant driving force to unleash the great waves of the
next-generation industrial revolution. While the ever-increasing proliferation of …
next-generation industrial revolution. While the ever-increasing proliferation of …
Vulnerability of machine learning approaches applied in iot-based smart grid: A review
Machine learning (ML) sees an increasing prevalence of being used in the Internet of Things
(IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be …
(IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be …
A Fully Distributed Privacy-Preserving Energy Management System for Networked Microgrid Cluster Based on Homomorphic Encryption
The networked microgrid cluster (NMGC) integrating multiple heterogeneous microgrids is
an effective way to improve the renewable energy utilization. However, the centralized …
an effective way to improve the renewable energy utilization. However, the centralized …
Preserving privacy in nested peer-to-peer energy trading in networked microgrids considering incomplete rationality
Y Xia, Q Xu, Y Huang, Y Liu, F Li - IEEE Transactions on Smart …, 2022 - ieeexplore.ieee.org
With the high penetration of renewable energy resources, energy prosumers and microgrids
can trade energy directly with each other in a hierarchical way. This paper develops a …
can trade energy directly with each other in a hierarchical way. This paper develops a …
Data-driven aggregation of thermal dynamics within building virtual power plants
Virtual power plants (VPPs) possess the capability to aggregate flexible resources to provide
grid services in the distributed network operation. The potential for flexibility utilization in …
grid services in the distributed network operation. The potential for flexibility utilization in …
A privacy-preserving blockchain-based method to optimize energy trading
It is always desired for optimizing energy trading to disable manipulation and preserve
individual privacy. These two features become increasingly appealing for an energy market …
individual privacy. These two features become increasingly appealing for an energy market …
Privacy-preserving household characteristic identification with federated learning method
Understanding residential household characteristics is crucial for retailers to provide
customers personalized services. Current methods infer household characteristics from …
customers personalized services. Current methods infer household characteristics from …