QuoTa: An Online Quality-Aware Incentive Mechanism for Fast Federated Learning
In addition to federated optimization, more current studies focus on incentive mechanism design Bathing problems for federated learning (FL), stimulating data owners to share their resources securely.Most existing works only considered data quantity but neglected other key factors like data quality and training time prediction.In combination with a