Federated Learning Systems

Towards Next-Generation AI

AvMuhammad Habib ur Rehman,Mohamed Medhat Gaber

Häftad, Engelska, 2022

Del i serien Studies in Computational Intelligence

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Beskrivning

Federated learning enables the distribution of the learning models across the devices and systems which perform initial training and report the updated model attributes to the centralized cloud servers for secure and privacy-preserving attribute aggregation and global model development.

Produktinformation

Utgivningsdatum:2022-06-12
Mått:155 x 235 x 12 mm
Vikt:330 g
Format:Häftad
Språk:Engelska
Serie:Studies in Computational Intelligence
Antal sidor:196
Förlag:Springer Nature Switzerland AG
ISBN:9783030706067

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Federated Learning Research: Trends and Bibliometric Analysis.- A Review of Privacy-preserving Federated Learning for the Internet-of-Things.- Diﬀerentially Private Federated Learning: Algorithm, Analysis and Optimization.- Advancements of federated learning towards privacy preservation: from federated learning to split learning.- PySyft: A Library for Easy Federated Learning.- Federated Learning Systems for Healthcare: Perspective and Recent Progress.- Towards Blockchain-Based Fair and Trustworthy Federated Learning Systems.- An Overview of Federated Deep Learning Privacy Attacks and Defensive Strategies.