Distributed machine learning using error-correcting codes
Organization
Coding and Information Transmission
Abstract
Collaborative learning is a machine learning technique that where multiple sensors or devices learn local data samples. It is desirable to design a framework, where the learning can be succesfully performed by these devices, without exchanging the whole data. Protocols based on algebraic codes could potentially increase the efficiency of the learning. In this project, the student will attempt at designing such coding schemes.
Graduation Theses defence year
2020-2021
Supervisor
Vitaly Skachek
Spoken language (s)
English
Requirements for candidates
Level
Bachelor, Masters
Keywords
Application of contact
Name
Vitaly SKACHEK
Phone
E-mail