1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
Samir Rajani, Dario Dematties, Nathaniel Hudson +4
Federated learning (FL) is increasingly becoming the default approach for training machine learning models across decentralized Internet-of-Things (IoT) devices. A key advantage of…
physics.ins-det2021★ 1 cited
A Hardware Co-design Workflow for Scientific Instruments at the Edge
Kazutomo Yoshii, Rajesh Sankaran, Sebastian Strempfer +3
As spatial and temporal resolutions of scientific instruments improve, the explosion in the volume of data produced is becoming a key challenge. It can be a critical bottleneck for…