3 citations · 4 across the 10 of their papers we have counts for
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cs.CR2019
Towards Fair and Privacy-Preserving Federated Deep Models
Lingjuan Lyu, Jiangshan Yu, Karthik Nandakumar +5
The current standalone deep learning framework tends to result in overfitting and low utility. This problem can be addressed by either a centralized framework that deploys a centra…
cs.CV2019
High-frequency crowd insights for public safety and congestion control
Karthik Nandakumar, Sebastien Blandin, Laura Wynter
We present results from several projects aimed at enabling the real-time understanding of crowds and their behaviour in the built environment. We make use of CCTV video cameras tha…