Federated Learning: Fundamentals and Advances (Machine Learning: Foundations, Methodologies, and Applications) (English, Paperback, Yaochu Jin, Han...

About the Book

This book introduces readers to the fundamentals of and recent advances in federated learning, focusing on reducing communication costs, improving computational efficiency, and enhancing the security level. Federated learning is a distributed machine learning paradigm which enables model training on...

Why You Should Read This Book

• Written by acclaimed authors Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen
• Published by Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi - 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500 (2022)
• 218 pages of comprehensive content
• Available in English language
• Ideal for students, professionals, and avid readers

Product Details

This edition of Federated Learning: Fundamentals and Advances (Machine Learning: Foundations, Methodologies, and Applications) is published by Atlantic Publishers and Distributors (P) Ltd., 7/22, Ansari Road, Darya Ganj, New Delhi - 110002 INDIA, Email – customercare@atlanticbooks.com, Ph – 011-47320500 and was first released in 2022. The book contains 218 pages packed with valuable information. It is available in multiple formats including Paperback and Hardcover editions, making it convenient for all types of readers.

Who Is This Book For?

Whether you are a student, a professional looking to expand your knowledge, or simply someone who loves reading, Federated Learning: Fundamentals and Advances (Machine Learning: Foundations, Methodologies, and Applications) by Yaochu Jin, Hangyu Zhu, Jinjin Xu, Yang Chen is an excellent choice. Order your copy today from BookBajar and enjoy free shipping with Cash on Delivery option available across India.