An application-level analysis claiming broad efficiency gains for an enhanced asynchronous AdaBoost, but all quantitative gains are extrapolated from the authors' prior work without new experiments.
Multi -Institutional Deep Learning Modeling Without Sharing Patient Data: A Feasibility Study on Brain Tumor Segmentation,
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Integrating Asynchronous AdaBoost into Federated Learning: Five Real World Applications
An application-level analysis claiming broad efficiency gains for an enhanced asynchronous AdaBoost, but all quantitative gains are extrapolated from the authors' prior work without new experiments.