DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning
DriftGuard: Mitigating Asynchronous Data Drift in Federated Learning explores DriftGuard is a federated learning framework that efficiently adapts to asynchronous data drift by separating global and local parameters, reducing retraining costs by up to 83% while maintaining high accuracy.. Commercial viability score: 7/10 in Federated Learning.
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