Assumpcao, N. R. G., & Villas, L. (2025). Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning.
Chicago Style (17th ed.) CitationAssumpcao, Nicolas Riccieri Gardin, and Leandro Villas. Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning. 2025.
MLA (9th ed.) CitationAssumpcao, Nicolas Riccieri Gardin, and Leandro Villas. Fast, Private, and Protected: Safeguarding Data Privacy and Defending Against Model Poisoning Attacks in Federated Learning. 2025.
Warning: These citations may not always be 100% accurate.