| Full text | |
| Author(s): |
de Souza, Lucas Airam C.
;
Camilo, Gustavo F.
;
Rebello, Gabriel Antonio E.
;
Guimaraes, Lucas C. B.
;
Mitre Campista, Miguel Elias
;
Kosmalski Costa, Luis Henrique Maciel
Total Authors: 6
|
| Document type: | Journal article |
| Source: | 2024 6TH CONFERENCE ON BLOCKCHAIN RESEARCH & APPLICATIONS FOR INNOVATIVE NETWORKS AND SERVICES, BRAINS 2024; v. N/A, p. 4-pg., 2024-01-01. |
| Abstract | |
In federated learning, different clients can contribute to the learning process without disclosing private information. Nevertheless, other security issues do still exist. Malicious users can delay the convergence or even degrade the final global model by injecting untrained models. This paper integrates blockchain technology with federated learning and evaluates the performance based on small committees. Based on real experiments, we show that registering all model updates in blockchain introduces system auditability without impacting the federated learning performance. (AU) | |
| FAPESP's process: | 15/24494-8 - Communications and processing of big data in cloud and fog computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/24485-9 - Future internet for smart cities |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 18/23292-0 - ACCRUE-SFI project: advanced collaborative research infrastructure for secure future internet |
| Grantee: | Otto Carlos Muniz Bandeira Duarte |
| Support Opportunities: | Regular Research Grants |
| FAPESP's process: | 14/50937-1 - INCT 2014: on the Internet of the Future |
| Grantee: | Fabio Kon |
| Support Opportunities: | Research Projects - Thematic Grants |