Federated Learning Systems

Towards Privacy-Preserving Distributed AI

AvMuhammad Habib ur Rehman,Mohamed Medhat Gaber

Inbunden, Engelska, 2025

Del i serien Studies in Computational Intelligence

1 858 kr

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Beskrivning

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

Produktinformation

Utgivningsdatum:2025-04-27
Mått:155 x 235 x 16 mm
Vikt:446 g
Format:Inbunden
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:165
Förlag:Springer International Publishing AG
ISBN:9783031788406

Utforska kategorier

Artificiell intelligens inom Data och IT

Innehållsförteckning

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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