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A Hybrid Instance-based Transfer Learning Method
Transfer learning can help overcome this issue by transferring the knowledge from readily available datasets (source) to a new dataset (target).
Boosting Model Performance through Differentially Private Model Aggregation
In this work, two approaches for private model aggregation are proposed that enable the transfer of knowledge from existing models trained on other companies' datasets to a new company with limited labeled data while protecting each client company's underlying individual sensitive information.
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