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.
Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning,
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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.