Page 2 - Homomorphic Encryption News Today : Breaking News, Live Updates & Top Stories | Vimarsana

Protecting sensitive data as Cloud computing's growth soars

Lawmakers and vendors are set to usher in an era of mutualized data insights. Are banks ready?

Cryptocurrencies like Bitcoin have transformed the world of finance with their decentralized and pseudonymous nature. However, while Bitcoin offers a

Mobile crowdsensing (MCS) combined with federated learning, as an emerging data collection and intelligent process paradigm, has received lots of attention in social networks and mobile Internet-of-Things, etc. However, as the openness and transparent of mobile crowdsensing tasks, federated learning model and training samples for crowdsensing data still face enormous privacy revealing risks, and it will reduce the willingness of people or nodes to actively participate and provide data in MCS. In this paper, we present a Privacy-Enhanced Aggregation for Federated Learning in MCS, namely Privacy...

Electronic healthcare (e-healthcare) system has brought great convenience for people to seek medical treatment. However, data security, user privacy and online diagnosis efficiency have also aroused widespread public concern. In this paper, we propose an efficient and privacy-preserving online diagnosis scheme for e-healthcare system based on federated learning mechanism (FLM). Specifically, we first transform the data owner's data sharing problem into machine learning problem through using FLM. By sharing calculated local model parameters instead of actual data, the privacy of training d...