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portada Federated and Transfer Learning (in English)
Type
Physical Book
Publisher
Language
English
Pages
371
Format
Hardcover
Dimensions
23.4 x 15.6 x 2.2 cm
Weight
0.71 kg.
ISBN13
9783031117473

Federated and Transfer Learning (in English)

Matthew E. Taylor (Illustrated by) · Roozbeh Razavi-Far (Illustrated by) · Boyu Wang (Illustrated by) · Springer · Hardcover

Federated and Transfer Learning (in English) - Razavi-Far, Roozbeh ; Wang, Boyu ; Taylor, Matthew E.

Physical Book

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Synopsis "Federated and Transfer Learning (in English)"

An Introduction to Federated and Transfer Learning.- Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art.- Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms.- Cross-silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems.- A Unifying Framework for Federated Learning.- A Contract Theory based Incentive Mechanism for Federated Learning.- A Study of Blockchain-based Federated Learning.- Swarm Meta Learning.- Rethinking Importance Weighting for Transfer Learning.- Transfer Learning via Representation Learning.- Modeling Individual Humans via a Secondary Task Transfer Learning Method.- From Theoretical to Practical Transfer Learning: The Adapt Library.- Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning.- A Study on Efficient Reinforcement Learning Through Knowledge Transfer.- Federated Transfer Reinforcement Learning for Autonomous Driving.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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