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A Secure Federated Learning Framework for Residential Short Term Load
  Forecasting
v1v2 (latest)

A Secure Federated Learning Framework for Residential Short Term Load Forecasting

IEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2022
29 September 2022
Muhammad Akbar Husnoo
A. Anwar
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
ArXiv (abs)PDFHTMLGithub

Papers citing "A Secure Federated Learning Framework for Residential Short Term Load Forecasting"

7 / 7 papers shown
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
500
5
0
10 Jan 2025
Addressing Heterogeneity in Federated Load Forecasting with
  Personalization Layers
Addressing Heterogeneity in Federated Load Forecasting with Personalization Layers
Shourya Bose
Yu Zhang
Kibaek Kim
318
4
0
01 Apr 2024
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
Privacy-Preserving Collaborative Split Learning Framework for Smart Grid Load Forecasting
Asif Iqbal
P. Gope
Biplab Sikdar
415
6
0
03 Mar 2024
Federated Short-Term Load Forecasting with Personalization Layers for
  Heterogeneous Clients
Federated Short-Term Load Forecasting with Personalization Layers for Heterogeneous Clients
Shourya Bose
Kibaek Kim
213
5
0
22 Sep 2023
Task-Aware Machine Unlearning and Its Application in Load Forecasting
Task-Aware Machine Unlearning and Its Application in Load ForecastingIEEE Transactions on Power Systems (IEEE Trans. Power Syst.), 2023
Wangkun Xu
Fei Teng
MUAI4TS
338
9
0
28 Aug 2023
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 DiscriminationEnergy and AI (EA), 2023
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
FedML
239
45
0
07 Apr 2023
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power
  System Fault and Cyberattack Discrimination
FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack DiscriminationConference on Computer Communications Workshops (INFOCOM), 2023
Muhammad Akbar Husnoo
A. Anwar
H. Reda
N. Hosseinzadeh
S. Islam
A. N. Mahmood
R. Doss
245
12
0
28 Mar 2023
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