A case study showing that private federated learning can fine-tune an app selection model on-device, achieving a small accuracy gain over a static server-trained baseline.
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Private Federated Learning In Real World Application -- A Case Study
A case study showing that private federated learning can fine-tune an app selection model on-device, achieving a small accuracy gain over a static server-trained baseline.