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20192024
most citedIntegration of Data Reduction and Near Real-Time Archiving into the Keck Observing Model

2 citations · 2 across the 1 of their papers we have counts for

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cs.LG2020

Federated Visual Classification with Real-World Data Distribution

Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown

Federated Learning enables visual models to be trained on-device, bringing advantages for user privacy (data need never leave the device), but challenges in terms of data diversity…

cs.LG2019

Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Tzu-Ming Harry Hsu, Hang Qi, Matthew Brown

Federated Learning enables visual models to be trained in a privacy-preserving way using real-world data from mobile devices. Given their distributed nature, the statistics of the…