Nutraceutical 发表于 2025-3-21 17:15:29

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Fibroid 发表于 2025-3-21 23:06:08

Basics of Distributed Machine Learning,al techniques are involved in meeting the characteristics of distributed environments. In this chapter, we first conduct an anatomy of distributed machine learning, with which we understand the indispensable building blocks in designing distributed gradient optimization algorithms. Then, we provide

繁荣地区 发表于 2025-3-22 04:21:58

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Anthem 发表于 2025-3-22 05:14:57

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步履蹒跚 发表于 2025-3-22 09:42:19

Conclusion,t fit the model parameters over the training data. As the data volume becomes larger and larger, extending gradient optimization algorithms to distributed environments is indispensable. This book thereby studies gradient optimization in the setting of distributed machine learning.

irreparable 发表于 2025-3-22 14:42:51

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irreparable 发表于 2025-3-22 20:42:32

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Gerontology 发表于 2025-3-22 22:23:04

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CHOIR 发表于 2025-3-23 03:00:40

Distributed Machine Learning Systems,t underlying infrastructures, e.g., new hardware (GPU/FPGA/RDMA), cloud environment, and databases. In this chapter, we will describe a broad range of machine learning systems in terms of motivations, architectures, functionalities, pros, and cons.

商业上 发表于 2025-3-23 07:01:49

Book 2022ra, large-scale datasets pose enormous challenges for the existing machine learning systems. As such, implementing machine learning algorithms in a distributed environment has become a key technology, and recent research has shown gradient-based iterative optimization to be an effective solution. Fo
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查看完整版本: Titlebook: Distributed Machine Learning and Gradient Optimization; Jiawei Jiang,Bin Cui,Ce Zhang Book 2022 The Editor(s) (if applicable) and The Auth