Federated Learning Systems

Towards Privacy-Preserving Distributed AI

Inbunden, Engelska, 2025

Av Muhammad Habib ur Rehman, Mohamed Medhat Gaber, Muhammad Habib Ur Rehman

2 669 kr

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This book dives deep into both industry implementations and cutting-edge research driving the Federated Learning (FL) landscape forward.

Produktinformation

Utgivningsdatum2025-04-27
Mått155 x 235 x 16 mm
Vikt446 g
FormatInbunden
SpråkEngelska
SerieStudies in Computational Intelligence
Antal sidor165
FörlagSpringer International Publishing AG
ISBN9783031788406

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Artificiell intelligens inom Data och it

Chapter 1.Empowering Federated Learning for Massive Models with NVIDIA FLARE.- Chapter 2.Fed-BioMed: Open, Transparent and Trusted Federated Learning for Real-world Healthcare Applications.- Chapter 3.Client Selection in Federated Learning: Challenges, Strategies, and Contextual Considerations.- Chapter 4.A Review of Secure Gradient Compression Techniques for Federated Learning in the Internet of Medical Things.- Chapter 5.Federated Learning for Recommender Systems: Advances and perspectives.- Chapter 6.The Missing Subject in Health Federated Learning: Preventive and Personalized Care.- Chapter 7.Privacy-Enhancing Technologies for Federated Learning.- Chapter 8.Collaborative Defense: Federated Learning for Intrusion Detection Systems.

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