Low Complexity Byzantine-Resilient Federated Learning

Low Complexity Byzantine-Resilient Federated Learning

<p dir="ltr">Federated learning (FL) has gained attention for enabling efficient distributed learning while maintaining data privacy. However, the data privacy constraint reduces the transparency in the agents’ model update making the learning process vulnerable to Byzantine attacks....

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Bibliographic Details
Main Author: A. Gouissem (17541396) (author)
Other Authors: S. Hassanein (21399926) (author), K. Abualsaud (17541399) (author), E. Yaacoub (17541402) (author), M. Mabrok (21399929) (author), M. Abdallah (812014) (author), T. Khattab (17541405) (author), M. Guizani (17541408) (author)
Published: 2024
Subjects:
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Machine learning
Mathematical sciences
Numerical and computational mathematics
Statistics
Federated learning
Distributed learning
Byzantine attacks
Convergence analysis
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