Federated transfer learning for cross-device model personalization – Complete Phd and Masters Thesis
[ad_1] Introduction: Federated transfer learning is an emerging research area that aims to personalize machine learning models across multiple devices. With the proliferation of smart devices such as smartphones, tablets, and smartwatches, there is a…
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