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3 - Fundamental Theory and Algorithms of Edge Learning
Song Guo, The Hong Kong Polytechnic University, Zhihao Qu, The Hong Kong Polytechnic University
Book:

Edge Learning for Distributed Big Data Analytics

Published online:

14 January 2022

Print publication:

10 February 2022, pp 24-41
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Summary

In this chapter, we first provide convergence results of Stochastic Gradient Descent (SGD) methods that are usually adopted to solve the machine learning problem. Then, we introduce advanced training algorithms including momentum SGD, Hyper-parameter-based algorithms, and optimization algorithms for deep learning models. At last, we give theoretical frameworks about how to deal with the staleness gradient incurred by ASP or SSP.