Federated Learning (FL) is a distributed machine learning paradigm in which multiple clients collaboratively train a global model while keeping their private data local [2, 6, 8].

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Federated and Decentralized Finance: Decentralized Reward Mechanisms for Advanced AI Learning

  • Hyoseok Jang,
  • Sangchul Lee,
  • Haneol Cho,
  • Chansoo Kim

摘要

Federated Learning (FL) is a distributed machine learning paradigm in which multiple clients collaboratively train a global model while keeping their private data local [2, 6, 8].