Secure multi-party computation (MPC) allows users to offload machine lea...
In today's machine learning (ML) models, any part of the training data c...
Privacy-preserving instance encoding aims to encode raw data as feature
...
On-device machine learning (ML) inference can enable the use of private ...
Online personalized recommendation services are generally hosted in the ...
Split learning and inference propose to run training/inference of a larg...
Federated learning (FL) aims to perform privacy-preserving machine learn...
Federated learning (FL) has emerged as an effective approach to address
...
Federated learning (FL) is an effective mechanism for data privacy in
re...
Technology companies have been leading the way to a renewable energy
tra...
This paper explores the environmental impact of the super-linear growth
...
The paper proposes and optimizes a partial recovery training system, CPR...
The ability to analyze and forecast stratospheric weather conditions is
...
The emergence of energy harvesting devices creates the potential for
bat...