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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...
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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...
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07/17/2022
Multi-Task and Transfer Learning for Federated Learning Applications
Federated learning enables many applications benefiting distributed and ...
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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...
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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...
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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...
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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...
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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 ...
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11/05/2018
Blockchain-based Privacy-Preserving Charging Coordination Mechanism for Energy Storage Units
Energy storage units (ESUs) enable several attractive features of modern...
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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...
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09/09/2016