Applied Mathematics Seminar 16: Robust distributed learning

Abstract: The growing size of modern data brings new challenges to many classical statistical problems and calls for the development of distributed learning approaches. While in practice, distributed systems may be attacked or behave abnormally, which causes the distributed algorithms based on faultless systems invalid. We will introduce some research results on robust distributed learning. Algorithms and theoretical properties are given. Simulation studies are conducted to demonstrate the performance of the proposed methodologies.

Tencent Meeting Number : 612-932-542