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公开(公告)号：US20230342669A1
公开(公告)日：2023-10-26
申请号：US18344188
申请日：2023-06-29
Applicant: Huawei Technologies Co., Ltd.
Inventor： Yunfeng Shao , Bingshuai Li , Jun Wu , Haibo Tian
Abstract: Embodiments of this application provide a machine learning model update method, applied to the field of artificial intelligence. The method includes: A first apparatus generates a first intermediate result based on a first data subset. The first apparatus receives an encrypted second intermediate result sent by a second apparatus, where the second intermediate result is generated based on a second data subset corresponding to the second apparatus. The first apparatus obtains a first gradient of a first model, where the first gradient of the first model is generated based on the first intermediate result and the encrypted second intermediate result. After being decrypted by using a second private key, the first gradient of the first model is for updating the first model, where the second private key is a decryption key generated by the second apparatus for homomorphic encryption.
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公开(公告)号：US20200092302A1
公开(公告)日：2020-03-19
申请号：US16692616
申请日：2019-11-22
Applicant: Huawei Technologies Co., Ltd.
Inventor： Qian Xiao , Yuming Xie , Jun Wu , Liang Zhang
Abstract: A data packet sending method, a network device, a control device, and a network system includes receiving a first data packet sent by a first device, where a packet header of the first data packet includes a first sequence number marker sequence, a first position marker sequence, a first accumulated value, and a verification value; obtaining a second data packet, where a packet header of the second data packet includes a second sequence number marker sequence, a second position marker sequence, a second accumulated value, and the verification value; and sending the second data packet to a second device.
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公开(公告)号：US20180358689A1
公开(公告)日：2018-12-13
申请号：US16047636
申请日：2018-07-27
Applicant: Huawei Technologies Co., Ltd.
Inventor： Youhe Ke , Dongli Wang , Hongdian Du , Jun Wu
CPC classification number: H01Q1/246 , H01Q1/1242 , H01Q1/18 , H01Q1/185 , H01Q1/24
Abstract: An antenna adjustment system and a base station, where the antenna adjustment system includes an inertial feedback unit configured to detect a swing angle of an antenna when the antenna swings with a housing, and send an angle signal to a controller, an actuator and an elastic element configured to control an auxiliary board to rotate back in a direction opposite to a swing direction of the housing in order to counteract deflection caused by swing of the housing of the antenna fastened to the auxiliary board. The actuator is driven by the controller based on the angle signal. Therefore, a position of an antenna can be adjusted with swing of the antenna such that signal sending stability of the antenna can be ensured.
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公开(公告)号：US12294525B2
公开(公告)日：2025-05-06
申请号：US17896943
申请日：2022-08-26
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jun Wu , Xinyu Hu , Liang Zhang , Huiying Xu
IPC: H04L47/2441 , G06N20/00 , H04L41/14 , H04L41/147 , H04L47/2483
Abstract: A data stream classification model updating method is disclosed. Determining, based on packet information of a current data stream and a behavior classification model, a first data stream class corresponding to the current data stream; determining, based on a target correspondence and a common feature of the current data stream, a second data stream class corresponding to the current data stream, where the target correspondence is a correspondence between a plurality of common features and a plurality of data stream classes; and if the first data stream class is different from the second data stream class, obtaining correction data corresponding to the current data stream, where the correction data includes the packet information of the current data stream and the second data stream class, and the correction data is used as a training sample to update the behavior classification model.
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公开(公告)号：US20230079312A1
公开(公告)日：2023-03-16
申请号：US18050775
申请日：2022-10-28
Applicant: Huawei Technologies Co., Ltd.
Inventor： Wenqian Liu , Xinyu Hu , Jun Wu
IPC: A63F13/358 , A63F13/352 , H04L45/00
Abstract: Embodiments of this application disclose a traffic identification method and a traffic identification device. The method in embodiments of this application includes: The traffic identification device obtains to-be-analyzed traffic of a target data flow. The traffic identification device obtains arrival time intervals of packets of the to-be-analyzed traffic. The traffic identification device determines a type of the to-be-analyzed traffic based on a distribution feature of probabilities of a part or all of the arrival time intervals.
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Patent Agency Ranking
公开(公告)号：US20220407809A1
公开(公告)日：2022-12-22
申请号：US17896943
申请日：2022-08-26
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jun Wu , Xinyu Hu , Liang Zhang , Huiying Xu
IPC: H04L47/2441 , H04L47/2483 , H04L41/147 , H04L41/14 , G06N20/00
Abstract: A data stream classification model updating method is disclosed. Determining, based on packet information of a current data stream and a behavior classification model, a first data stream class corresponding to the current data stream; determining, based on a target correspondence and a common feature of the current data stream, a second data stream class corresponding to the current data stream, where the target correspondence is a correspondence between a plurality of common features and a plurality of data stream classes; and if the first data stream class is different from the second data stream class, obtaining correction data corresponding to the current data stream, where the correction data includes the packet information of the current data stream and the second data stream class, and the correction data is used as a training sample to update the behavior classification model.
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公开(公告)号：US20210296921A1
公开(公告)日：2021-09-23
申请号：US17342878
申请日：2021-06-09
Applicant: Huawei Technologies Co., Ltd.
IPC: H02J7/00
Abstract: A charging method and apparatus are provided. In a process of performing constant voltage charging on a battery at a charging voltage that is greater than an end-of-precharge voltage and less than a maximum charging voltage, the charging apparatus determines a current relaxation time and controls a charging current and a charging voltage based on the current relaxation time, to adaptively charge the battery. This better adapts to a change inside the battery in the charging process, effectively improves safety and reliability of the battery in the charging process, enhances cycle performance of the battery, and prolongs battery life.
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公开(公告)号：US11838215B2
公开(公告)日：2023-12-05
申请号：US17695491
申请日：2022-03-15
Applicant: Huawei Technologies Co., Ltd.
Inventor： Jun Wu , Xinyu Hu , Yali Wang , Xiaoyun Si
IPC: H04L47/2441 , H04L47/20 , H04L69/22
CPC classification number: H04L47/2441 , H04L47/20 , H04L69/22
Abstract: A data stream classification method includes obtaining, based on a packet feature of a current data stream and a behavior classification model, at least one first confidence that is of the current data stream and that corresponds to at least one data stream class, where the behavior classification model is based on a plurality of data stream samples; obtaining, based on feature information of the current data stream and a content classification model, at least one second confidence that is of the current data stream and that corresponds to the at least one data stream class, where the content classification model is based on one or more historical data streams; and determining a data stream class of the current data stream based on the at least one first confidence and the at least one second confidence.
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公开(公告)号：US11671368B2
公开(公告)日：2023-06-06
申请号：US17244256
申请日：2021-04-29
Applicant: Huawei Technologies Co., Ltd.
Inventor： Haonan Ye , Liang Zhang , Jian Cheng , Jun Wu
IPC: H04L12/801 , H04L47/12 , H04L41/14 , H04L47/11 , H04L12/24
Abstract: A network device inputs first network status information of the network device in a first time period to an ECN inference model, to obtain an inference result that is output by the ECN inference model based on the first network status information. Then, the network device sends an ECN parameter sample to an analysis device that manages the network device, where the ECN parameter sample includes the first network status information and a target ECN configuration parameter corresponding to the first network status information, and the target ECN configuration parameter is obtained based on the inference result. The network device receives an updated ECN inference model sent by the analysis device.
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公开(公告)号：US11411810B2
公开(公告)日：2022-08-09
申请号：US16437442
申请日：2019-06-11
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Li Xue , Yuming Xie , Liang Zhang , Jun Wu , Lv Ding
IPC: H04L41/0677 , G06F17/18 , H04L43/0811 , H04L41/0631 , H04L41/142 , H04L41/5009
Abstract: A fault locating method includes: receiving, by a first network device, a fault information packet flooded by another network device in a network, where each fault information packet includes statistical information about an interior gateway protocol packet of the network device sending the fault information packet, and the statistical information of each network device includes a statistical result on one or more key performance indicators KPIs of the network device; and determining, based on statistical information of the first network device and the statistical information of the another network device, a network device on which a fault occurs in the network. According to the method, the fault information packet flooded by the network device is received, so that information required for fault locating, that is, the KPI of the network device, can be quickly collected. This facilitates a fault locating process and reduces a fault locating time.
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