In today's interconnected digital world, data privacy and security have emerged as paramount concerns for individuals, organizations, and governments alike. This review …
Federated machine learning (FL) allows to collectively train models on sensitive data as only the clients' models and not their training data need to be shared. However, despite the …
Firms are often reluctant to share data because of mistrust, concerns over control, and other risks. Multi-party computation (MPC) is a new technique to compute meaningful insights …
This fundamentals article discusses efficient machine economies in which non-human agents can autonomously exchange information and value. We first identify criteria for …
The world's current model for economic development is unsustainable. It encourages high levels of resource extraction, consumption, and waste that undermine positive …
Today, digital identity management for individuals is either inconvenient and error-prone or creates undesirable lock-in effects and violates privacy and security expectations. These …
The labeling of electricity is considered an important mechanism to differentiate renewable power generation and, thus, to incentivize the expansion of green energy. However, today's …
In the energy transition, there is an urgent need for decreasing overall carbon emissions. Against this background, the purposeful and verifiable tracing of emissions in the energy …
GM Garrido, V Nair, D Song - arXiv preprint arXiv:2301.05940, 2023 - arxiv.org
The adoption of virtual reality (VR) technologies has rapidly gained momentum in recent years as companies around the world begin to position the so-called" metaverse" as the next …