ASSUMPÇÃO, Nicolas R. G.; 						VILLAS, Leandro A..
 Fast, Private, and Protected: An Approach for Efficient Federated Learning in Hostile Environments. <em>In</em>: URBAN COMPUTING WORKSHOP (COURB), 8.	, 2024, Niterói/RJ.
	 
	<strong>Anais</strong> [...].
 Porto Alegre: Sociedade Brasileira de Computação, 
	2024
.
 p. 15-28. 
			ISSN 2595-2706. 
		DOI: <a href="https://doi.org/10.5753/courb.2024.2523">https://doi.org/10.5753/courb.2024.2523</a>.