Yuhan Kang: Mean Field Guided Machine Learning, Gebunden
Mean Field Guided Machine Learning
- Publisher:
- Springer, 07/2025
- Binding:
- Gebunden
- Language:
- Englisch
- ISBN-13:
- 9783031918582
- Item number:
- 12358964
- Volume:
- 164 Pages
- Weight:
- 416 g
- Format:
- 241 x 160 mm
- Thickness:
- 15 mm
- Release date:
- 9.7.2025
- Series:
- Wireless Networks
- Note
-
Caution: Product is not in German language
Blurb
Preface.- Chapter 1 Overview of Mean Field Theory and Machine Learning.- Chapter 2 Mean Field Game and Machine Learning Basis.- Chapter 3 Opinion Evolution in Social Networks: Use Generative Adversarial Networks to Solve Mean Field Game.- Chapter 4 Data Augmentation using Mean Field Games.- Chapter 5 Mean Field Game Guided Deep Reinforcement Learning.- Chapter 6 Incentive Mechanism Design in Satellite-Based Federated Learning using Mean Field Evolutionary Approach.- Chapter 7 Client Selection in Hierarchical Federated Learning with Mean Field Game.- Chapter 8 Evolutionary Neural Architecture Search with Mean Field Game Selection Mechanism.- References.- Index.