Federated and Transfer Learning

Chapter 1 An Introduction to Federated and Transfer Learning

Chapter 2 Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art

Chapter 3 Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms

Chapter 4 Cross-Silo Federated Neural Architecture Search for Heterogeneous and Cooperative Systems

Chapter 5 A Unifying Framework for Federated Learning

Chapter 6 A Contract Theory Based Incentive Mechanism for Federated Learning

Chapter 7 A Study of Blockchain-Based Federated Learning

Chapter 8 Swarm Meta Learning

Chapter 9 Rethinking Importance Weighting for Transfer Learning

Chapter 10 Transfer Learning via Representation Learning

Chapter 12 From Theoretical to Practical Transfer Learning: The ADAPT Library

Chapter 13 Lyapunov Robust Constrained-MDPs for Sim2Real Transfer Learning

Chapter 14 A Study on Efficient Reinforcement Learning Through Knowledge Transfer

Chapter 15 Federated Transfer Reinforcement Learning for Autonomous Driving