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Federated and Transfer Learning

Federated and Transfer Learning

Hardcover

Series: Adaptation, Learning, and Optimization, Book 27

Technology & EngineeringGeneral ComputersProbability & Statistics

ISBN10: 3031117476
ISBN13: 9783031117473
Publisher: Springer
Published: Oct 1 2022
Pages: 371
Weight: 1.56
Height: 0.88 Width: 6.14 Depth: 9.21
Language: 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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