research
∙
09/04/2022
Joint Linear and Nonlinear Computation across Functions for Efficient Privacy-Preserving Neural Network Inference
While it is encouraging to witness the recent development in privacy-pre...
share
research
∙
04/29/2022
Energy Minimization for Federated Asynchronous Learning on Battery-Powered Mobile Devices via Application Co-running
Energy is an essential, but often forgotten aspect in large-scale federa...
research
∙
05/05/2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks
Machine Learning as a Service (MLaaS) is enabling a wide range of smart ...
research
∙
11/12/2019