FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning

Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D. , Imran, M. A. and Zoha, A. (2022) FedClamp: an Algorithm for Identification of Anomalous Client in Federated Learning. In: ICECS 2022: 29th IEEE International Conference on Electronics, Circuits & Systems, Glasgow, UK, 24-26 October 2022, (Accepted for Publication)

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Abstract

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Item Type:Conference Proceedings
Status:Accepted for Publication
Refereed:Yes
Glasgow Author(s) Enlighten ID:Zoha, Dr Ahmed and Khan, Ahsan Raza and Manzoor, Habib Ullah and Imran, Professor Muhammad and Flynn, Professor David and Ayaz, Fahad
Authors: Manzoor, H. U., Khan, M. S., Khan, A. R., Ayaz, F., Flynn, D., Imran, M. A., and Zoha, A.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
College of Science and Engineering > School of Engineering > Systems Power and Energy

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