Description

Book Synopsis

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.

Mean Field Guided Machine Learning

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    A Hardback by Yuhan Kang

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      Publisher: Springer
      Publication Date: Publication Date: 08/07/2025
      ISBN13: 9783031918582, 978-3031918582
      ISBN10:
      Also in:
      Computing Machine learning

      Description

      Book Synopsis

      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.

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