吞噬 发表于 2025-3-23 11:13:10

Gauri Joshil applicability. This book presents a formal treatment of some aspects of control theory applied to the problem of vision-based pose regulation of wheeled mobile robots. In this problem, the robot has to reach a desired position and orientation, which are specified by a target image. It is faced in

Infelicity 发表于 2025-3-23 14:50:46

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冒失 发表于 2025-3-23 19:25:30

,Asynchronous SGD and Staleness-Reduced Variants,atch-sync SGD overcome the straggling delay, but they end up discarding partially completed gradient computation at one or more workers, thus reducing the statistical efficiency of the algorithm and adversely affecting the error convergence.

衍生 发表于 2025-3-23 22:26:05

Synthesis Lectures on Learning, Networks, and Algorithmshttp://image.papertrans.cn/o/image/703136.jpg

Malcontent 发表于 2025-3-24 02:55:19

https://doi.org/10.1007/978-3-031-19067-4Distributed Machine Learning; Distributed Optimization; Optimization Algorithms; Stochastic Gradient De

FLAT 发表于 2025-3-24 07:58:25

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发炎 发表于 2025-3-24 14:41:33

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骑师 发表于 2025-3-24 15:39:25

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cognizant 发表于 2025-3-24 20:44:48

,Distributed Optimization in Machine Learning,Machine learning is revolutionizing data-driven decision-making in a myriad applications including search and recommendations, self-driving cars, robotics, and medical diagnosis.

POINT 发表于 2025-3-24 23:49:02

,Calculus, Probability and Order Statistics Review,In this chapter, we will begin by reviewing some concepts from calculus and probability that are essential to understanding the error and runtime analyses of various distributed SGD algorithms that we will study in the rest of the book.
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查看完整版本: Titlebook: Optimization Algorithms for Distributed Machine Learning; Gauri Joshi Book 2023 The Editor(s) (if applicable) and The Author(s), under exc