Abstract: Embodiments of the present disclosure provide hierarchical, differential privacy enhancements to federated, machine learning. Local machine learning models may be generated and/or trained by data owners participating in the federated learning framework based on their respective data sets. Noise corresponding to and satisfying a first privacy loss requirement are introduced to the data owners' respective data sets, and noise corresponding to and satisfying a first privacy loss requirement are introduced to the local models generated and/or trained by the data owners. The data owners transmit model data corresponding to their respective local models to a coordinator, which in turn aggregates the data owners' model data. After introducing noise corresponding to and satisfying a third privacy loss requirement to the aggregated model data, the coordinator transmits the aggregated model data to the data owners to facilitate updating and/or re-training on their respective machine learning models.

Abstract: Embodiments of the present disclosure provide hierarchical, differential privacy enhancements to federated, machine learning. Local machine learning models may be generated and/or trained by data owners participating in the federated learning framework based on their respective data sets. Noise corresponding to and satisfying a first privacy loss requirement are introduced to the data owners' respective data sets, and noise corresponding to and satisfying a first privacy loss requirement are introduced to the local models generated and/or trained by the data owners. The data owners transmit model data corresponding to their respective local models to a coordinator, which in turn aggregates the data owners' model data. After introducing noise corresponding to and satisfying a third privacy loss requirement to the aggregated model data, the coordinator transmits the aggregated model data to the data owners to facilitate updating and/or re-training on their respective machine learning models.

Abstract: The present invention includes systems and method for generating Virtual IDs (VIDs) and corresponding Virtual ID Chains (VICs) to anonymize and represent transactions between users, data sources, Virtual ID Management Platforms (VMP), and Third-Party Service Providers (TSPs). VIDs of embodiments are virtualized identifiers that may be used to anonymously and uniquely identify transaction participants. VIDs may be generated in a distributed manner as a party receiving transaction-related information generates a VID corresponding to the sending party. VICs of embodiments are virtualized arrays of VIDs that represent the sequence of interactions between parties to a transaction. VICs are preferably stored in association with transaction logs descriptive of the transaction represented by each VIC to facilitate subsequent processing. A VIC may be iteratively resolved to obtain one or more non-virtualized identifier corresponding to transaction participants represented by the VIC.

Abstract: The present invention includes systems and method for generating Virtual IDs (VIDs) and corresponding Virtual ID Chains (VICs) to anonymize and represent transactions between users, data sources, Virtual ID Management Platforms (VMP), and Third-Party Service Providers (TSPs). VIDs of embodiments are virtualized identifiers that may be used to anonymously and uniquely identify transaction participants. VIDs may be generated in a distributed manner as a party receiving transaction-related information generates a VID corresponding to the sending party. VICs of embodiments are virtualized arrays of VIDs that represent the sequence of interactions between parties to a transaction. VICs are preferably stored in association with transaction logs descriptive of the transaction represented by each VIC to facilitate subsequent processing. A VIC may be iteratively resolved to obtain one or more non-virtualized identifier corresponding to transaction participants represented by the VIC.

Abstract: The invention provides a method of managing an activity, including: a user making a request to engage in an activity with a first of a plurality of providers; and the user presenting to the first provider with a personal data storage device, the device provided with identification data to identify the user and a user profile comprising a plurality of sets of user profile data, each set of user profile data pertaining to at least one of the plurality of providers; wherein the user's request to engage in the activity is assessed according to one or more sets of the user profile data.

Abstract: A communication method is disclosed as including the steps of (a) associating sensor with an object; (b) associating a mobile phone or personal digital assistant with a secure token capable of communication contactlessly with the sensor; (c) setting a number of rules of possible allowable ways of interaction between the object and the mobile pone; (d) the sensor obtaining information relating to the object; (e) the secure token initiating and establishing information contactless communication with the sensor and receiving from the sensor the information obtained by the sensor; and (f) the secure token issuing an output on the basis of the rules of possible or allowable ways of interaction and the information received from the sensor.

Abstract: The invention provides a method of managing an activity, including: a user making a request to engage in an activity with a first of a plurality of providers; and the user presenting to the first provider with a personal data storage device, the device provided with identification data to identify the user and a user profile comprising a plurality of sets of user profile data, each set of user profile data pertaining to at least one of the plurality of providers; wherein the user's request to engage in the activity is assessed according to one or more sets of the user profile data.