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公开(公告)号：US20210409197A1
公开(公告)日：2021-12-30
申请号：US17472843
申请日：2021-09-13
发明人： Nathalie Baracaldo Angel , Stacey Truex , Heiko H. Ludwig , Ali Anwar , Thomas Steinke , Rui Zhang
摘要： Techniques regarding privacy preservation in a federated learning environment are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a plurality of machine learning components that can execute a machine learning algorithm to generate a plurality of model parameters. The computer executable components can also comprise an aggregator component that can synthesize a machine learning model based on an aggregate of the plurality of model parameters. The aggregator component can communicate with the plurality of machine learning components via a data privacy scheme that comprises a privacy process and a homomorphic encryption process in a federated learning environment.
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公开(公告)号：US11175954B2
公开(公告)日：2021-11-16
申请号：US16680067
申请日：2019-11-11
发明人： Yonggang Hu , Zhenhua Hu , Reshu Jain , Prasenjit Sarkar , Rui Zhang
IPC分类号： G06F9/50 , H04L12/911 , G06F9/48 , H04L12/927 , H04L29/08 , H04L12/851
摘要： A system for multi-layer quality of service (QoS) management in a distributed computing environment includes a management node hosting a workload scheduler configured to receive a workload and identify a workload QoS class for the workload. The workload scheduler schedules running of the workload on compute nodes, translate the workload QoS class to a plurality of different resource layer QoS classes, and communicates the plurality of QoS classes to a workload execution manager of the compute nodes. The workload execution manager is configured to extend the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.
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公开(公告)号：US20210042628A1
公开(公告)日：2021-02-11
申请号：US16536711
申请日：2019-08-09
发明人： Yi Zhou , Rui Zhang , Heiko H. Ludwig , Jonathan F. Brunn
摘要： Embodiments relate to an intelligent computer platform to build a federated learning framework including creating a hierarchy of machine learning models (MLMs). The hierarchy of MLMs has a primary MLM in a primary layer. Training the primary MLM includes capturing contributing model updates across at least one communication channel. A secondary MLM is created and logically positioned in a secondary layer of the hierarchy. The secondary MLM is operatively coupled to the primary MLM across the at least one communication channel. The created secondary MLM is initialized, including cloning weights and framework of the primary MLM into the secondary MLM, and populated with secondary data. The populated data has model updates local to the created secondary MLM. The secondary MLM is logically stored local to the secondary layer, and limits access to the secondary MLM to the secondary layer.
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公开(公告)号：US20200244548A1
公开(公告)日：2020-07-30
申请号：US16848692
申请日：2020-04-14
IPC分类号： H04L12/24
摘要： One embodiment provides a method for monitoring context-dependent quality of service in a shared computing environment that includes detecting, by a processor, a change in context. Context includes user context and external context, and user context comprises physical activity, mood, engagement levels and type of events. Prior assigned service classes are updated to updated service classes based on the change in context. Service level agreement (SLA) statistics for each assigned service class are aggregated and collected. Each assigned service class includes at least one SLA based on aggregate services received by individual users in that assigned service class, and aggregating SLA statistics is based on a statistical function.
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公开(公告)号：US20200081743A1
公开(公告)日：2020-03-12
申请号：US16680099
申请日：2019-11-11
发明人： Yonggang Hu , Zhenhua Hu , Reshu Jain , Prasenjit Sarkar , Rui Zhang
IPC分类号： G06F9/50 , H04L12/911 , G06F9/48 , H04L12/927 , H04L29/08
摘要： A method for multi-layer quality of service (QoS) management in a distributed computing environment includes receiving a workload and identifying a workload QoS class for the workload. The workload is scheduled to be run compute nodes. The workload QoS class is translated to a plurality of different resource layer QoS classes, and the plurality of QoS classes are communicated to a workload execution manager of the compute nodes. The workload execution manager extends the plurality of different resource layer QoS classes to respective resource layers involved in the running of the workload.
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公开(公告)号：US20200020107A1
公开(公告)日：2020-01-16
申请号：US16255140
申请日：2019-01-23
摘要： A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions executed by the processor to specifically configure the processor to implement a multi-atlas segmentation engine. An offline registration component performs registration of a plurality of atlases with a set of image templates to thereby generate and store, in a first registration storage device, a plurality of offline registrations. The atlases are annotated training medical images and the image templates are non-annotated medical images. The multi-atlas segmentation engine receives a target image. An image selection component selects a subset of image templates in the set of image templates based on the target image. An online registration component performs registration of the subset of image templates with the target image to generate a plurality of online registrations. The multi-atlas segmentation engine retrieves offline registrations corresponding to the subset of image templates from the first registration storage device. The multi-atlas segmentation engine performs segmentation of the target image based on the retrieved offline registrations corresponding to the subset of image templates and the plurality of online registrations. The segmentation applies labels to anatomical structures present in the target image based on the retrieved offline registrations and the plurality of online registrations to thereby output a modified target image.
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公开(公告)号：US10395335B2
公开(公告)日：2019-08-27
申请号：US15470721
申请日：2017-03-27
发明人： Hongzhi Wang , Rui Zhang
摘要： One embodiment provides a method comprising receiving image data with a first image resolution, and determining an optimal image resolution for sampling the image data based on a learned model. The optimal image resolution is lower than the first image resolution. The method further comprises sampling the image data at the optimal image resolution, and performing image analysis on sampled image data resulting from the sampling.
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公开(公告)号：US10346391B2
公开(公告)日：2019-07-09
申请号：US16041393
申请日：2018-07-20
IPC分类号： G06F16/23 , G06F9/50 , G06F16/245
摘要： In another general embodiment, a method includes receiving an application, determining whether the application matches another application saved to a database, in response to determining that the application does not match another application saved to the database, performing one or more test runs of the application, determining one or more resource consumption patterns for the application, based on the one or more test runs of the application, estimating one or more parameters of the application, based on the one or more resource consumption patterns, and saving a configuration for the application, in response to determining that the application does match another application, executing the application using the saved configuration for the matching application, monitoring statistics and resource usage, updating the one or more parameters, adjusting the execution of the application, utilizing the updated one or more parameters, and saving the updated one or more parameters of the application.
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公开(公告)号：US10332029B2
公开(公告)日：2019-06-25
申请号：US14985499
申请日：2015-12-31
发明人： Markus R. Ettl , Young M. Lee , Hongxia Yang , Rui Zhang
摘要： An algebra and differential equations model of a physical system is constructed based on available training data and physical system characteristics. A hybrid calibration process is carried out to iteratively calibrate both time-insensitive and time-sensitive parameters of the algebra and differential equations model so as to obtain parameter vectors. Vector auto-regression is applied to the parameter vectors to predict values of the parameters for a future time period.
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公开(公告)号：US10248678B2
公开(公告)日：2019-04-02
申请号：US14835204
申请日：2015-08-25
IPC分类号： G06F17/30
摘要： Techniques are disclosed herein for controlling object placement in object storage. A placement component of a storage application receives a request to store a first object in an object store having multiple nodes. The object store determines a placement of the first object to one of the nodes based on an object namespace including a numerical namespace and a lexicographical namespace. Each node is assigned a corresponding subspace of the object namespace for storing objects. The first object includes a numerical namespace value and a lexicographical namespace value. A second object (a replica of the first object) is generated. The first object is stored to a first node based on the lexicographical namespace value. The second object is stored to a second node based on the numerical namespace value.
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