AFRODITE-Optimizing Federated Learning in Resource-Constrained Environments Through Data Sampling Techniques
M Aragão, P González, C de Farias… - 2024 IEEE Conference …, 2024 - ieeexplore.ieee.org
Federated Learning (FL) has emerged as a promising solution to address challenges in
traditional machine learning (ML) regarding data privacy and security. However, training …
traditional machine learning (ML) regarding data privacy and security. However, training …
[PDF][PDF] Seleçao de Modelo de Aprendizado Federado Baseado em Busca e Poda para Detecçao de Defeitos Industriais
L Gantert, MEM Campista - gta.ufrj.br
Federated learning emerges as an alternative to traditional machine learning by
decentralizing model training. Client devices communicate with a central server and train the …
decentralizing model training. Client devices communicate with a central server and train the …