| KEYWORD |
Area Engineering
Security and Privacy in Distributed Machine Learning
Thesis abroad
Reference persons GUIDO MARCHETTO, ALESSIO SACCO
External reference persons Prof. Flavio Esposito - St. Louis University, USA
Research Groups DAUIN - GR-03 - COMPUTER NETWORKS GROUP - NETGROUP
Description This thesis addresses the critical challenges of security and privacy in distributed machine learning environments. It examines various threats and vulnerabilities associated with data distribution and collaborative learning. The research proposes robust techniques, similar to secure multi-party computation, and privacy methods to protect sensitive information. The goal is to ensure that distributed machine learning can be conducted securely and privately, without compromising the integrity and confidentiality of the data involved.
Deadline 11/07/2025
PROPONI LA TUA CANDIDATURA