24 citations · 41 across the 5 of their papers we have counts for
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cs.LG2022★ 4 cited
Applied Federated Learning: Architectural Design for Robust and Efficient Learning in Privacy Aware Settings
Branislav Stojkovic, Jonathan Woodbridge, Zhihan Fang +8
The classical machine learning paradigm requires the aggregation of user data in a central location where machine learning practitioners can preprocess data, calculate features, tu…
eess.SP2022★ 1 cited
A machine learning accelerated inverse design of underwater acoustic polyurethane coatings with cylindrical voids
Hansani Weeratunge, Zakiya Shireen, Sagar Iyer +5
Here, we report the development of a detailed "Materials Informatics" framework for the design of acoustic coatings for underwater sound attenuation through integrating Machine Lea…