A Comprehensive Survey of Incentive Mechanism for Federated Learning

Understand

Federated learning utilizes various resources provided by participants to collaboratively train a global model, which potentially address the data privacy issue of machine learning.

• In such promising paradigm, the performance will be deteriorated without sufficient training data and other resources in the learning process.
• Thus, it is quite crucial to inspire more participants to contribute their valuable resources with some payments for federated learning.
• In this paper, we present a comprehensive survey of incentive schemes for federate learning.