EDGE SHARE

Brand Owner Address Description
EDGESHARE Shamrock Ventures III B.V. Herengracht 25 A Amsterdam 1015BA Netherlands EDGE SHARE;Providing temporary use of non-downloadable cloud-based software for real-time data stream processing; providing temporary use of non-downloadable cloud-based learning-enabled software for real-time data stream processing; Providing temporary use of non-downloadable cloud-based software for integrating data with existing systems, integrating existing systems with third party software, managing application programming interfaces (API), data stream processing, business process management rules engine building, bi-directional data synchronization with third party software, data visualization, data relationship mapping, data analytics, analyzing base layer data; software as a service (SAAS) services featuring software for providing data analytics, business analytics, business intelligence and for collecting and analyzing business, and governmental data;
 

Where the owner name is not linked, that owner no longer owns the brand

   
Technical Examples
  1. A method is provided for reducing a known value modulo a shared secret value among network devices exchanging messages in a network. The reduction results in a share of reduced value for each network device of a reduced value. Each network device has its share of known value and its share of shared secret value. It performs an inversion step for deriving from the share of shared secret value a share of the inverse of the shared secret value by using an approximation process, resulting in a share of inverse value; a multiplication step for deriving from the share of inverse value by use of the share of known value a share of multiplied inverse value; a rounding step for rounding the share of multiplied inverse value; and a calculation step for deriving the share of reduced value from the share of known value, the rounded share of multiplied inverse value, and the share of shared secret value. The method reduces values with a public modulus but also enables several network devices to reduce their known values with a modulus shared among them, but not becoming public. After the reduction, a faster computation with the reduced values or the shares thereof can be achieved. The proposed method can be implemented in threshold protocols in which computation occurs in a group where a modulus is not known but distributed. Furthermore, a network device is provided comprising a processor for executing the method incorporated in a computer program product.