Federated and Transfer Learning is popular PDF and ePub book, written by Roozbeh Razavi-Far in 2022-09-30, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Federated and Transfer Learning can be Read Online from any device for your convenience.
Federated and Transfer Learning Book PDF Summary
This book provides a collection of recent research works on learning from decentralized data, transferring information from one domain to another, and addressing theoretical issues on improving the privacy and incentive factors of federated learning as well as its connection with transfer learning and reinforcement learning. Over the last few years, the machine learning community has become fascinated by federated and transfer learning. Transfer and federated learning have achieved great success and popularity in many different fields of application. The intended audience of this book is students and academics aiming to apply federated and transfer learning to solve different kinds of real-world problems, as well as scientists, researchers, and practitioners in AI industries, autonomous vehicles, and cyber-physical systems who wish to pursue new scientific innovations and update their knowledge on federated and transfer learning and their applications.
Detail Book of Federated and Transfer Learning PDF
- Author : Roozbeh Razavi-Far
- Release : 30 September 2022
- Publisher : Springer Nature
- ISBN : 9783031117480
- Genre : Technology & Engineering
- Total Page : 371 pages
- Language : English
- PDF File Size : 9,5 Mb
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