FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination

Husnoo, Muhammad Akbar; Anwar, Adnan; Reda, Haftu; Hosseinzadeh, N; Islam, Shama; Mahmood, AN; Ram Mohan Doss, Robin

FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination

conference contribution

posted on 2024-06-03, 01:02 authored by Muhammad Akbar HusnooMuhammad Akbar Husnoo, Adnan AnwarAdnan Anwar, Haftu Reda, N Hosseinzadeh, Shama IslamShama Islam, AN Mahmood, Robin Ram Mohan DossRobin Ram Mohan Doss

FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination

History

Volume

00

Pagination

1-6

Location

Hoboken, New Jersey

Start date

2023-05-20

End date

2023-05-20

ISSN

2833-0587

eISSN

2159-4228

ISBN-13

9781665494274

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

INFOCOM 2023 : IEEE Conference on Computer Communications Workshops

Event

Computer Communications. Workshops (2023 : Hoboken, New Jersey)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Publication URL

http://dx.doi.org/10.1109/infocomwkshps57453.2023.10226030

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FeDiSa: A Semi-asynchronous Federated Learning Framework for Power System Fault and Cyberattack Discrimination

History

Volume

Pagination

Location

Start date

End date

ISSN

eISSN

ISBN-13

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Publication URL

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Keywords

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