Architecture and model for Edge intelligence

• Grant number: 21/11325-4
• Support Opportunities: Scholarships in Brazil - Post-Doctoral
• Start date: November 01, 2021
• End date: April 30, 2022
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: MCTI/MC
• Principal Investigator: Nelson Luis Saldanha da Fonseca
• Grantee: Julio Cesar Santos dos Anjos
• Host Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Associated research grant: 15/24494-8 - Communications and processing of big data in cloud and fog computing, AP.TEM

Abstract

The postdoctoral fellow associated with this fellowship will be responsible for directing the development of a distributed intelligence layer close to users, therefore at the edge of the network. The intelligence layer should act in a distributed manner, but with the support of centralized cloud computing when necessary. Machine learning mechanisms should carry out the processing of data collected from diverse devices, encompassing both intelligent devices, e.g. with collection capability, and also some data processing, such as sensors with limited capacity. The goal of the developed architecture will be to combine processing power in a hierarchy that encompasses the edge, intermediate layers, and the cloud to accomplish aggregation and distributed learning. The definition of the architecture that allows data offloading according to the needs of the application that is relying on the learning mechanism brings challenges for optimization and modeling of computational infrastructure applications. In this project, the architecture will be developed with a bias of use in wellness and health applications, considering its requirements. (AU)

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)

STOCCHERO, JORGITO MATIUZZI; SILVA, CARLOS ANDRE; DE SOUZA SILVA, LAURO; LAWISCH, MARCIO ANTONIO; DOS ANJOS, JULIO CESAR S.; DE FREITAS, EDISON PIGNATON. Secure Command and Control for Internet of Battle Things Using Novel Network Paradigms. IEEE COMMUNICATIONS MAGAZINE, v. 61, n. 5, p. 7-pg., 2023-05-01. (21/11325-4)

DOS ANJOS, JULIO C. S.; MATTEUSSI, KASSIANO J.; ORLANDI, FERNANDA C.; BARBOSA, JORGE L. V.; SILVA, JORGE SA; BITTENCOURT, LUIZ F.; GEYER, CLAUDIO F. R.. A Survey on Collaborative Learning for Intelligent Autonomous Systems. ACM COMPUTING SURVEYS, v. 56, n. 4, p. 37-pg., 2024-04-01. (20/09706-7, 21/11325-4)