Collaborative Byzantine Resilient Federated Learning-Reference-Cited by-同舟云学术

Collaborative Byzantine Resilient Federated Learning

Author:

Gouissem A.¹,Abualsaud K.²^ORCID,Yaacoub E.²^ORCID,Khattab T.³^ORCID,Guizani M.⁴^ORCID

Affiliation:

1. College of Computing and Information Technology, University of Doha for Science and Technology, Doha, Qatar

2. Department of Computer Science and Engineering, Qatar University, Doha, Qatar

3. Department of Electrical Engineering, Qatar University, Doha, Qatar

4. Machine Learning Department, Mohamed Bin Zayed University of Artificial Intelligence, Abu Dhabi, UAE

Funder

NPRP Award from the Qatar National Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing

Link

Reference27 articles.

1. Towards realistic Byzantine-robust federated learning;portnoy;arXiv 2004 04986,2020

4. Robust federated learning using ADMM in the presence of data falsifying Byzantines;li;arXiv 1710 05241,2017

5. Analyzing federated learning through an adversarial lens;bhagoji;Proc 36th Int Conf Mach Learn,2019

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