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Federated Learning Systems

Name: Federated Learning Systems
Brand: Springer, Berlin
SKU: 46816345
Price: 182.19 EUR
Availability: InStock
Author: Muhammad Habib ur Rehman
ISBN: 9783031788406

Towards Privacy-Preserving Distributed AI

Muhammad Habib ur Rehman

Mohamed Medhat Gaber

Lingua

Inglese

Libro Rigido

Codice Libristo: 46816345

Casa editrice Springer, Berlin, novembre 2024

This book dives deep into both industry implementations and cutting-edge research driving the Federa... Descrizione completa

Codice Libristo: 46816345

446 b

182.19 €

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This book dives deep into both industry implementations and cutting-edge research driving the Federated Learning (FL) landscape forward. FL enables decentralized model training, preserves data privacy, and enhances security without relying on centralized datasets. Industry pioneers like NVIDIA have spearheaded the development of general-purpose FL platforms, revolutionizing how companies harness distributed data. Alternately, for medical AI, FL platforms, such as FedBioMed, enable collaborative model development across healthcare institutions to unlock massive value.

Research advances in PETs highlight ongoing efforts to ensure that FL is robust, secure, and scalable. Looking ahead, federated learning could transform public health by enabling global collaboration on disease prevention while safeguarding individual privacy. From recommendation systems to cybersecurity applications, FL is poised to reshape multiple domains, driving a future where collaboration and privacy coexist seamlessly.