"Fast, Private, and Protected: Safeguarding Data Privacy and Defending ..."

Nícolas Riccieri Gardin Assumpçáo, Leandro Villas (2024)

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DOI: 10.1109/ISCC61673.2024.10733713

access: closed

type: Conference or Workshop Paper

metadata version: 2024-11-06

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Nícolas Riccieri Gardin Assumpçáo, Leandro Villas:
Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning. ISCC 2024: 1-6

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