https://www.selleckchem.com/pr....oducts/usp25-28-inhi
In this way, the cross-client variation problem is addressed with privacy preservation. We apply the framework for automated classification of clinically significant prostate cancer and evaluate it using multi-source decentralized apparent diffusion coefficient (ADC) image data. Experimental results demonstrate that the proposed VAFL framework stably outperforms the current horizontal FL framework. In addition, we discuss the conditions, and experimentally validated them, that VAFL is applicable for training a global mode
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