Dynamic differential privacy to federated learning systems

    公开(公告)号:US11907403B2

    公开(公告)日:2024-02-20

    申请号:US17344893

    申请日:2021-06-10

    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.

    System and a Method for Reducing False Alerts in a Road Management System

    公开(公告)号:US20230260398A1

    公开(公告)日:2023-08-17

    申请号:US17673506

    申请日:2022-02-16

    CPC classification number: G08G1/091 H04W4/40

    Abstract: An area alert management system (AAMS) for reducing false alerts in a road management system comprises a map data unit comprising map data for a defined geographical area. The defined geographical area includes at least one roadside unit (RSU) configured to receive data from one or more vehicle on-board data processing units. An alert analysis unit of the AAMS receives vehicle generated alerts. The AAMS includes a static environment data unit comprising static environmental data for said defined geographical area. Upon receiving a vehicle generated alert, the alert analysis unit uses a location associated with the vehicle generated alert to obtain data from any of the map data unit, the static environment data unit or sensor data and determines if the received vehicle generated alert is consistent with the obtained data. If not consistent, the alert is determined as a false alert.

    Camera Calibration Method
    94.
    发明申请

    公开(公告)号:US20230095500A1

    公开(公告)日:2023-03-30

    申请号:US17467664

    申请日:2021-09-07

    Abstract: Described is a method of calibrating a camera. The method comprises obtaining geographical coordinates of a selected physical point location within an image view of the camera and measuring an angle between an x-axis of a real-world coordinate system passing through said selected point location with respect to true north. The method includes using said obtained geographical coordinates, said measured angle, and projection data derived from characteristics of the camera to derive modified projection data for transforming a two-dimensional pixel coordinate system of the camera image view into a three-dimensional geographical coordinate system for point locations within the image view of the camera.

    DYNAMIC DIFFERENTIAL PRIVACY TO FEDERATED LEARNING SYSTEMS

    公开(公告)号:US20220398343A1

    公开(公告)日:2022-12-15

    申请号:US17344893

    申请日:2021-06-10

    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.

    Chatbot system with model lifecycle management

    公开(公告)号:US11501211B2

    公开(公告)日:2022-11-15

    申请号:US16818702

    申请日:2020-03-13

    Abstract: The present disclosure describes methods, devices, and non-transitory computer readable storage medium for managing lifecycle of a knowledge base (KB) in chatbot systems. The method includes receiving an update request and updating a current-version KB as a new current-version KB. The method also includes receiving a first test request from a knowledge point (KP) operator and determining whether the new current-version KB passes a first test; and in response to the determination that the new current-version KB passes the first test, submitting the new current-version KB as a new submit-version KB. The method further includes receiving a second test request from a KP manager and determining whether the new submit-version KB passes a second test; and in response to the determination that the new submit-version KB passes the second test, storing an original production-version KB as a pervious-version KB and submitting the new submit-version KB as a new production-version KB.

    Method and device for detecting discontinuous transmission (DTX) for small block encoded signals

    公开(公告)号:US11363578B2

    公开(公告)日:2022-06-14

    申请号:US16827883

    申请日:2020-03-24

    Abstract: Described is a method and device for processing a signal received at an uplink control information (UCI) receiver in a wireless communication system. The method comprises processing a signal received on an uplink (UL) at said UCI receiver to transform said received signal into a likelihood calculation of possible transmitted codewords (θ1 . . . θi . . . θN). The likelihood calculation of possible transmitted codewords (θ1 . . . θi . . . θN) may comprise a multi-dimensional discrete Fourier transform (DFT) (θ1 . . . θi . . . θN) of said received signal. The multi-dimensional may be formed as a Hadamard Transform. The method includes determining a maximum magnitude θmax value from said likelihood calculation of possible transmitted codewords (θ1 . . . θi . . . θN) and then comparing said θmax value to a selected, calculated or predetermined scaled threshold c·τ where τ is a threshold and c is a scaling factor for the threshold τ. The comparison is such that, where θmax>c·τ, it is determined that the signal received on the UL at said UCI receiver comprises a linear block encoded signal. In some cases, the scaling factor c may be omitted.

    Method for relaying event information in a multi-tier V2X system

    公开(公告)号:US11195413B1

    公开(公告)日:2021-12-07

    申请号:US16882589

    申请日:2020-05-25

    Abstract: A method for improving road safety of a vehicle in a system having a plurality of communicatively connected roadside units (RSUs) placed within a defined geographical area, each RSU configured to receive data from a plurality of sources located within its respective coverage area forming part of said defined geographical area and to at least transmit the received data and/or data derived from the received data to one or more data processing units located within its coverage area. The method has the steps of: receiving data defining an event E1 occurring within the coverage area of an event RSU; determining a type of the event E1; and based on the type of event E1, communicating data defining the event E1 or data related to the event E1 from the event RSU to one or more selected RSUs from remaining RSUs.

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