SEC’23 Best Poster Award
VISA PhD student Kaiqi Zhao‘s work “Self-Supervised Quantization-Aware Knowledge Distillation” won the Best Poster Award at the Eighth ACM/IEEE Symposium on Edge Computing (SEC 2023)! Congrats!
Tag: edge computing
Fighting COVID-19 with federated learning
The spread of the Corona Virus Disease 2019 (COVID-19) has reached pandemic levels across the globe. There is an urgent need to develop CT apps that not only monitor but also intervene to limit COVID-19 spread while respecting user security and privacy. Sponsored by National Science Foundation, this project addresses this challenge via Federated Analytics[…]
Distributed Deep Learning Published on EDGE’18
Ragini’s EDGE’18 paper, “Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?” studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices.