How Long to Read Federated Learning for Wireless Networks

How Long Does it Take to Read Federated Learning for Wireless Networks?

It takes the average reader 4 hours and 24 minutes to read Federated Learning for Wireless Networks by Choong Seon Hong

Assuming a reading speed of 250 words per minute. Learn more

Description

Recently machine learning schemes have attained significant attention as key enablers for next-generation wireless systems. Currently, wireless systems are mostly using machine learning schemes that are based on centralizing the training and inference processes by migrating the end-devices data to a third party centralized location. However, these schemes lead to end-devices privacy leakage. To address these issues, one can use a distributed machine learning at network edge. In this context, federated learning (FL) is one of most important distributed learning algorithm, allowing devices to train a shared machine learning model while keeping data locally. However, applying FL in wireless networks and optimizing the performance involves a range of research topics. For example, in FL, training machine learning models require communication between wireless devices and edge servers via wireless links. Therefore, wireless impairments such as uncertainties among wireless channel states, interference, and noise significantly affect the performance of FL. On the other hand, federated-reinforcement learning leverages distributed computation power and data to solve complex optimization problems that arise in various use cases, such as interference alignment, resource management, clustering, and network control. Traditionally, FL makes the assumption that edge devices will unconditionally participate in the tasks when invited, which is not practical in reality due to the cost of model training. As such, building incentive mechanisms is indispensable for FL networks. This book provides a comprehensive overview of FL for wireless networks. It is divided into three main parts: The first part briefly discusses the fundamentals of FL for wireless networks, while the second part comprehensively examines the design and analysis of wireless FL, covering resource optimization, incentive mechanism, security and privacy. It also presents several solutions based on optimization theory, graph theory, and game theory to optimize the performance of federated learning in wireless networks. Lastly, the third part describes several applications of FL in wireless networks.

How long is Federated Learning for Wireless Networks?

Federated Learning for Wireless Networks by Choong Seon Hong is 257 pages long, and a total of 66,049 words.

This makes it 87% the length of the average book. It also has 81% more words than the average book.

How Long Does it Take to Read Federated Learning for Wireless Networks Aloud?

The average oral reading speed is 183 words per minute. This means it takes 6 hours to read Federated Learning for Wireless Networks aloud.

What Reading Level is Federated Learning for Wireless Networks?

Federated Learning for Wireless Networks is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Federated Learning for Wireless Networks?

Federated Learning for Wireless Networks by Choong Seon Hong is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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