From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach

Zhang, N; Zhao, Y; Qu, YN; Gu, B; Sood, Keshav; Gao, Longxiang; Yu, S

From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach

conference contribution

posted on 2025-04-07, 00:36 authored by N Zhang, Y Zhao, YN Qu, B Gu, Keshav SoodKeshav Sood, Longxiang GaoLongxiang Gao, S Yu

From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach

History

Volume

00

Pagination

956-961

Location

Cape Town, South Africa

Open access

No

Start date

2024-12-08

End date

2024-12-12

ISSN

2334-0983

eISSN

2576-6813

Language

eng

Publication classification

E1 Full written paper - refereed

Title of proceedings

GLOBECOM 2024 : Proceedings of the IEEE Global Communications Conference

Event

Global Communications. Conference (2024 : Cape Town, South Africa)

Publisher

IEEE

Place of publication

Piscataway, N.J.

Publication URL

https://doi.org/10.1109/globecom52923.2024.10901319

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Keywords

Machine Learning and Artificial Intelligence

From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach

History

Volume

Pagination

Location

Open access

Start date

End date

ISSN

eISSN

Language

Publication classification

Title of proceedings

Event

Publisher

Place of publication

Publication URL

Usage metrics

Categories

Keywords

Licence

Exports