Privacy
A recent patent application by inventor Emmet Townsend proposes a novel method for privacy preserving data processing in a linked data operating environment. The application, titled "Privacy preserving data processing in a linked data operating environment using Privacy Preserving Data Processing (PPDP) agents," aims to provide a secure
Privacy
FrankieOne, a leading provider of identity and compliance orchestration platforms, has partnered with MATTR, a digital trust technology company, to make standards-backed verifiable digital credentials available within its platform. This partnership embeds MATTR's digital trust technology into FrankieOne's identity orchestration platform, enabling organisations to verify customers
Privacy
FrankieOne, a leading provider of identity and compliance orchestration platforms, has partnered with MATTR, a digital trust technology company, to make standards-backed verifiable digital credentials available within its platform. This partnership embeds MATTR's digital trust technology into FrankieOne's identity orchestration platform, enabling organisations to verify customers
Electric cars
In a breakthrough study, researchers from Southeast University in Nanjing, China, have developed an interactive framework for electric vehicles (EVs) to maintain data privacy while exchanging information with the power grid. The framework, based on federated learning, enables multiple charging stations to collaborate with multiple distribution transformer areas without compromising
Medical imaging equipment
Research conducted at Hebei University of Technology, in collaboration with financial supporters including the National Key R&D Program of China and the National Natural Science Foundation of China, has developed a federated learning framework called FL-MONAS. This framework aims to address the challenges of data privacy, cross-institutional data
Privacy
Researchers from the Guilin University of Electronic Technology have developed a distributed privacy-preserving k-means algorithm, DTK-means, designed to address the issue of intermediate cluster details exposure in traditional k-means methods. The algorithm involves multiple users and two non-colluding servers, ensuring that neither the participants nor the servers have knowledge of
Privacy
Research conducted at Hebei University of Technology, in collaboration with financial supporters including the National Key R&D Program of China and the National Natural Science Foundation of China, has developed a federated learning framework called FL-MONAS. This framework aims to address the challenges of data privacy, cross-institutional data
Privacy
In a breakthrough study, researchers from Southeast University in Nanjing, China, have developed an interactive framework for electric vehicles (EVs) to maintain data privacy while exchanging information with the power grid. The framework, based on federated learning, enables multiple charging stations to collaborate with multiple distribution transformer areas without compromising
Privacy
Research from Nankai University has discovered that the announcement of state-level proposals of Privacy Protection Acts (PPAs) leads to a significant increase in IT investment by US small banks. The study found that the announcement results in a 35.46% increase in IT investment, primarily driven by market pressure, with
Privacy
FrankieOne, a leading provider of identity and compliance orchestration platforms, has partnered with MATTR, a digital trust technology company, to make standards-backed verifiable digital credentials available within its platform. This partnership embeds MATTR's digital trust technology into FrankieOne's identity orchestration platform, enabling organisations to verify customers
Privacy
Researchers at the Dalian University of Technology in Liaoning, People's Republic of China, have developed a novel deep learning framework to detect cross-platform rumors (CPRs) effectively. The framework, named Cross Platform Rumor Detection based on Improved Federated Learning (CPRDIFL), integrates and improves federated learning and the pre-trained Masked
Money
Digital currencies have become increasingly popular in recent years, but a major limitation of existing blockchain technology is the inability to conduct offline transactions without sacrificing security and immutability. A new method and system for processing offline cryptocurrency transfers has been patented by Stephen Higgins, addressing this issue. The system
