Book Title: Communication Efficient Federated Learning for Wireless Networks Author: Mingzhe Chen, Shuguang Cui 2024 189 Genre: Technology, Artificial Intelligence, Machine Learning Summary: This book explores the concept of communication efficient federated learning for wireless networks, providing insights into the latest advancements in the field and its potential applications in various industries. The author delves into the challenges faced by wireless networks in terms of data privacy and security, and how federated learning can address these issues while improving the overall performance of the network. The book covers the principles of federated learning, its advantages, and the role of communication efficiency in ensuring the success of the technology. Long Description: Communication Efficient Federated Learning for Wireless Networks is a comprehensive guide to understanding the latest developments in the field of federated learning and its applications in wireless networks. The book begins by discussing the need for efficient communication in wireless networks, highlighting the challenges faced by these networks in terms of data privacy and security. The author then delves into the principles of federated learning, explaining how this technology can address the challenges faced by wireless networks while improving their overall performance. The book covers the following topics: 1. Introduction to Federated Learning: The author provides an overview of federated learning, its history, and its significance in the field of artificial intelligence and machine learning. 2.

''