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Tackling Non-IID Data and Data Poisoning in Federated Learning Using Adversarial Synthetic Data

Anastasiya Danilenka

Danilenka, Anastasiya

Sep 12, 2024

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Journal of Automation, Mobile Robotics and Intelligent Systems

Volume 18 (2024): Issue 3 (September 2024)

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Published Online: Sep 12, 2024

Page range: 1 - 13

Received: Dec 27, 2023

Accepted: Mar 11, 2024

DOI: https://doi.org/10.14313/jamris/3-2024/17

Keywords
federated learning, non-IID data, label skew, data poisoning, label flipping

© 2024 Anastasiya Danilenka, published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Danilenka, Anastasiya

Faculty of Mathematics and Information Science, Warsaw University of TechnologyWarsaw, Poland

Language:: English

Publication timeframe:: 4 times per year
Journal Subjects:: Computer Sciences, Artificial Intelligence, Engineering, Electrical Engineering, Control Engineering, Metrology and Testing, Mechanical Engineering, Fundamentals of Mechanical Engineering

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