Title: ADMM for Distributed Learning
Time: 10:30am on 13th Aug. 2024 Location: SALC6 of Shefield Building
Abstract: In this talk, we will briefly introduce the well-known alternating direction method of multipliers (ADMM) algorithm and discuss its applications in distributed learning including the federated learning, few-shot learning, and deep learning.
Short Bio: Zhou Shenglong is a professor with the School of Mathematics and Statistics at Beijing Jiaotong University. He obtained his Ph.D. from the University of Southampton, where he also served as a Research Fellow and Lecturer from 2017 to 2021. He joined Imperial College London as a Research Fellow from 2021 to 2023. His research focuses on optimization theory and methods, with applications in machine learning, data analysis, and signal processing.
Location
Imperial College London
Faculty of Engineering
South Kensington Campus
London SW7 2AZ, UK
White City Campus
London W12 7TA, UK
