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Federated deep learning for IoT-enabled smart cities

Grant number: 20/14771-2
Support Opportunities:Scholarships in Brazil - Technical Training Program - Technical Training
Effective date (Start): December 01, 2020
Effective date (End): September 30, 2022
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computer Systems
Acordo de Cooperação: MCTI/MC
Principal Investigator:Carlos Alberto Kamienski
Grantee:Fabíola Martins Campos de Oliveira
Host Institution: Centro de Matemática, Computação e Cognição (CMCC). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
Associated research grant:15/24485-9 - Future internet for smart cities, AP.TEM
News published in Agência FAPESP Newsletter about the scholarship:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
DE OLIVEIRA, FABIOLA MARTINS CAMPOS; BITTENCOURT, LUIZ FERNANDO; KAMIENSKI, CARLOS ALBERTO; BORIN, EDSON. PANCODE: Multilevel Partitioning of Neural Networks for Constrained Internet-of-Things Devices. IEEE ACCESS, v. 11, p. 20-pg., . (15/24485-9, 20/14771-2, 13/08293-7, 14/50937-1)

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