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FedDiSC: A Computation-efficient Federated Learning Framework for Power
  Systems Disturbance and Cyber Attack Discrimination

FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination

7 April 2023
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
    FedML
ArXivPDFHTML

Papers citing "FedDiSC: A Computation-efficient Federated Learning Framework for Power Systems Disturbance and Cyber Attack Discrimination"

4 / 4 papers shown
Title
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Decentralized Federated Anomaly Detection in Smart Grids: A P2P Gossip Approach
Muhammad Akbar Husnoo
Adnan Anwar
Md Enamul Haque
A. N. Mahmood
39
1
0
10 Jan 2025
A Secure Federated Learning Framework for Residential Short Term Load
  Forecasting
A Secure Federated Learning Framework for Residential Short Term Load Forecasting
Muhammad Akbar Husnoo
A. Anwar
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
54
33
0
29 Sep 2022
Federated Learning with Hyperparameter-based Clustering for Electrical
  Load Forecasting
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting
Nastaran Gholizadeh
Petr Musílek
FedML
37
74
0
14 Nov 2021
Deep Learning for Intelligent Demand Response and Smart Grids: A
  Comprehensive Survey
Deep Learning for Intelligent Demand Response and Smart Grids: A Comprehensive Survey
Praveen Kumar
Viet Quoc Pham
Madhusanka Liyanage
N. Deepa
Mounik Vvss
Shivani Reddy
Reddy Maddikunta
Neelu Khare
Thippa Reddy Gadekallu
W. Hwang
30
55
0
20 Jan 2021
1