基于异构算力感知的去中心化联邦学习框架及建模方法.

基于异构算力感知的去中心化联邦学习框架及建模方法

Номер патента: CN113033082A
Опубликовано: 25-06-2021
Автор(ы): 周学海, 朱宗卫, 李曦, 王超
Принадлежит: Suzhou Institute Of Higher Studies University Of Science And Technology Of China
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Рисунок 1. Взаимосвязь патентов (ближайшие 20).

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Dynamic power control method and system for resisting multi-user parameter biased aggregation in federated learning

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Method and system for communication between blockchains on heterogeneous blockchain networks

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Method and system for communication between blockchains on heterogeneous blockchain networks

Номер патента: WO2021113049A1. Автор: Rakesh YADAV,Sarala BURADAGUNTA,Steven C. Davis,Sebastien LE CALLONNEC,Dmytro Kryvoshei. Владелец: MasterCard International Incorporated. Дата публикации: 2021-06-10.

Method and apparatus for modulation based on data partitioning for federated learning

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Method, electronic device, and computer program product for proactively adjusting available computing power of a computing node based on movement of at least one user device

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Method and system for communication between blockchains on heterogeneous blockchain networks

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Determining geolocations of composite entities based on heterogeneous data sources

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Determining geolocations of composite entities based on heterogeneous data sources

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Determining geolocations of composite entities based on heterogeneous data sources

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Unified attractiveness prediction framework based on content impact factor

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Incomplete multi-view fuzzy system modeling method based on visible and hidden view collaborative learning

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Techniques for using relay averaging in federated learning

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Techniques for using relay averaging in federated learning

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Systems and methods for generating scalable personalized recommendations based on dynamic and customized content selections and modeling of the content selections

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Method for performing federated learning in wireless communication system, and apparatus therefor

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Power control in over the air aggregation for federated learning

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Reinforced federated learning utilizing multiple specialized machine learning agents

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Power control in over the air aggregation for federated learning

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Weighted average federated learning based on neural network training loss

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Power control in over the air aggregation for federated learning

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Ar enhanced structural transformation estimator and modeling engine

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Ar enhanced structural transformation estimator and modeling engine

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Handheld call detection method based on lightweight target detection network

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Model decorrelation and subspacing for federated learning

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Model decorrelation and subspacing for federated learning

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Mobility and zone management in zone-based federated learning

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AR enhanced structural transformation estimator and modeling engine

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System and methods to improve the performance of federated learning via sidelink communications

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Power control in over the air aggregation for federated learning

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UAV-assisted federated learning resource allocation method

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Management of federated learning

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Recurring communication schemes for federated learning

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Transfer/federated learning approaches to mitigate blockage in millimeter wave systems

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Federated learning for connected camera applications in vehicles

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Federated learning

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User equipment participation indications associated with federated learning

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Non-coherent modulation for federated learning

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Adaptive security architecture based on state of posture

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