research
∙
06/17/2023
Federated Learning Based Distributed Localization of False Data Injection Attacks on Smart Grids
Data analysis and monitoring on smart grids are jeopardized by attacks o...
share
research
∙
11/12/2022
Unsupervised Anomaly Appraisal of Cleft Faces Using a StyleGAN2-based Model Adaptation Technique
This paper presents a novel machine learning framework to consistently d...
research
∙
07/17/2022
Multi-Task and Transfer Learning for Federated Learning Applications
Federated learning enables many applications benefiting distributed and ...
research
∙
06/25/2022
Infinite Impulse Response Graph Neural Networks for Cyberattack Localization in Smart Grids
This study employs Infinite Impulse Response (IIR) Graph Neural Networks...
research
∙
06/15/2022
Clustered Scheduling and Communication Pipelining For Efficient Resource Management Of Wireless Federated Learning
This paper proposes using communication pipelining to enhance the wirele...
research
∙
12/25/2021
Cyberattack Detection in Large-Scale Smart Grids using Chebyshev Graph Convolutional Networks
As a highly complex and integrated cyber-physical system, modern power g...
research
∙
04/24/2021
Joint Detection and Localization of Stealth False Data Injection Attacks in Smart Grids using Graph Neural Networks
False data injection attacks (FDIA) are becoming an active avenue of res...
research
∙
03/11/2021
Utility of Traffic Information in Dynamic Routing: Is Sharing Information Always Useful?
Real-time traffic information can be utilized to enhance the efficiency ...
research
∙
11/05/2018
Blockchain-based Privacy-Preserving Charging Coordination Mechanism for Energy Storage Units
Energy storage units (ESUs) enable several attractive features of modern...
research
∙
09/06/2018
Deep Recurrent Electricity Theft Detection in AMI Networks with Random Tuning of Hyper-parameters
Modern smart grids rely on advanced metering infrastructure (AMI) networ...
research
∙
09/09/2016
