Titlebook: Distributed Machine Learning and Computing; Theory and Applicati M. Hadi Amini Book 2024 The Editor(s) (if applicable) and The Author(s), u

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书目名称Distributed Machine Learning and Computing影响因子(影响力)




书目名称Distributed Machine Learning and Computing影响因子(影响力)学科排名




书目名称Distributed Machine Learning and Computing网络公开度




书目名称Distributed Machine Learning and Computing网络公开度学科排名




书目名称Distributed Machine Learning and Computing被引频次




书目名称Distributed Machine Learning and Computing被引频次学科排名




书目名称Distributed Machine Learning and Computing年度引用




书目名称Distributed Machine Learning and Computing年度引用学科排名




书目名称Distributed Machine Learning and Computing读者反馈




书目名称Distributed Machine Learning and Computing读者反馈学科排名

有权威

虚度

Vertical Federated Learning: Principles, Applications, and Future Frontiers,complexities, within these challenges emerges a call for innovation. The chapter explored emerging fields of solutions and innovations in VFL, acknowledging the need for dedicated benchmark tools, and many research opportunities to bridge existing gaps in theory and implementation.

轮流

2662-4133 ibuted machine learning and optimization algorithms for larg.This book focuses on a wide range of distributed machine learning and computing algorithms and their applications in healthcare and engineering systems. The contributors explore how these techniques can be applied to different real-world p

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声明

https://doi.org/10.1057/9780230253025is trajectory design problem is posed as an optimization framework whose goal is to find optimal trajectories that maximize the fraction of users served by all DBSs. Then, we explain how to use the designed RL algorithm to solve this trajectory design problem.

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https://doi.org/10.1057/9780230253025ructure that builds, operates, and maintains this capital-intensive network..In this work, we aim to highlight the need for and outline a credible path toward restructuring the current operational architecture of the electricity grid in view of the ongoing decentralization trends with an emphasis on

诱导

https://doi.org/10.1057/9780230253025, ensuring cybersecurity, and obtaining specialized expertise must be addressed. The research investigates various ML applications within the realms of solar energy, wind energy, and electric distribution and storage, illustrating their potential to optimize energy systems. To sum up, this research