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Federated and Transfer Learning
Matthew E. Taylor
(Illustrated by)
·
Roozbeh Razavi-Far
(Illustrated by)
·
Boyu Wang
(Illustrated by)
·
Springer
· Hardcover
Federated and Transfer Learning - Razavi-Far, Roozbeh ; Wang, Boyu ; Taylor, Matthew E.
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Synopsis "Federated and Transfer Learning"
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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