Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity

Abdenour Soubih; Seyyid Ahmed Lahmer; Mohammed Abuhamad; Tamer Abuhmed

doi:10.1109/IMCOM64595.2025.10857574

Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity

Abdenour Soubih, Seyyid Ahmed Lahmer, Mohammed Abuhamad, Tamer Abuhmed

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025
Editors	Sukhan Lee, Hyunseung Choo, Roslan Ismail
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331507817
DOIs	https://doi.org/10.1109/IMCOM64595.2025.10857574
State	Published - 2025
Event	19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025 - Bangkok, Thailand Duration: Jan 3 2025 → Jan 5 2025

Publication series

Name	Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025

Conference

Conference	19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025
Country/Territory	Thailand
City	Bangkok
Period	1/3/25 → 1/5/25

ASJC Scopus Subject Areas

Safety, Risk, Reliability and Quality
Computer Vision and Pattern Recognition
Information Systems
Modeling and Simulation
Health Informatics
Information Systems and Management
Artificial Intelligence
Computer Networks and Communications

Keywords

Adversarial Attacks
Data heterogeneity
Federated Learning
Machine Learning Security
Robustness

Access to Document

10.1109/IMCOM64595.2025.10857574

Cite this

Soubih, A., Lahmer, S. A., Abuhamad, M., & Abuhmed, T. (2025). Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. In S. Lee, H. Choo, & R. Ismail (Eds.), Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025 (Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCOM64595.2025.10857574

Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. / Soubih, Abdenour; Lahmer, Seyyid Ahmed; Abuhamad, Mohammed et al.
Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025. ed. / Sukhan Lee; Hyunseung Choo; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Soubih, A, Lahmer, SA, Abuhamad, M & Abuhmed, T 2025, Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. in S Lee, H Choo & R Ismail (eds), Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025. Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025, Institute of Electrical and Electronics Engineers Inc., 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025, Bangkok, Thailand, 1/3/25. https://doi.org/10.1109/IMCOM64595.2025.10857574

Soubih A, Lahmer SA, Abuhamad M, Abuhmed T. Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity. In Lee S, Choo H, Ismail R, editors, Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025). doi: 10.1109/IMCOM64595.2025.10857574

Soubih, Abdenour ; Lahmer, Seyyid Ahmed ; Abuhamad, Mohammed et al. / Towards Robust Federated Learning : Investigating Poisoning Attacks Under Clients Data Heterogeneity. Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025. editor / Sukhan Lee ; Hyunseung Choo ; Roslan Ismail. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the 2025 19th International Conference on Ubiquitous Information Management and Communication, IMCOM 2025).

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title = "Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity",

keywords = "Adversarial Attacks, Data heterogeneity, Federated Learning, Machine Learning Security, Robustness",

author = "Abdenour Soubih and Lahmer, {Seyyid Ahmed} and Mohammed Abuhamad and Tamer Abuhmed",

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Towards Robust Federated Learning: Investigating Poisoning Attacks Under Clients Data Heterogeneity

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ASJC Scopus Subject Areas

Keywords

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