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公开(公告)号：US20210068119A1
公开(公告)日：2021-03-04
申请号：US16555501
申请日：2019-08-29
Applicant: Cisco Technology Inc.
Inventor： Xiaoqing Zhu , Wai-tian Tan , Herb Wildfeuer
Abstract: A method is provided in a wireless access point in a wireless communications network. The method includes obtaining information characterizing a first wireless stream and the second wireless stream transmitted or received by the wireless access point. The information includes at least a wireless channel quality for each of the first wireless stream and the second wireless stream. The method further includes allocating transmission resources to the first wireless stream and the second wireless stream based on the obtained information. In response to a change in quality of the first wireless stream, the method further includes revising the allocation of transmission resources for the first wireless stream based on at least one of a target bit-rate and a target level of smoothness.
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公开(公告)号：US20180240011A1
公开(公告)日：2018-08-23
申请号：US15439072
申请日：2017-02-22
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Rob Liston , John G. Apostolopoulos , Xiaoqing Zhu
CPC classification number: G06F17/18 , G06F9/46 , G06N3/0454 , G06N3/063 , G06N3/084
Abstract: Presented herein are techniques for training a central/global machine learning model in a distributed machine learning system. In the data sampling techniques, a subset of the data obtained at the local sites is intelligently selected for transfer to the central site for use in training the central machine learning model. In the model merging techniques, distributed local training occurs in each local site and copies of the local machine learning models are sent to the central site for aggregation of learning by merging of the models. As a result, in accordance with the examples presented herein, a central machine learning model can be trained based on various representations/transformations of data seen at the local machine learning models, including sampled selections of data-label pairs, intermediate representation of training errors, or synthetic data-label pairs generated by models trained at various local sites.
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公开(公告)号：US20180132206A1
公开(公告)日：2018-05-10
申请号：US15347076
申请日：2016-11-09
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Herbert Michael Wildfeuer , Xiaoqing Zhu
CPC classification number: H04L65/1023 , H04L45/121 , H04L45/124 , H04L45/125 , H04L45/22 , H04L45/302 , H04L45/3065 , H04L65/4015 , H04L65/80 , H04W40/00 , H04W84/042 , H04W84/12 , H04W88/06
Abstract: In one embodiment, a method includes: determining a plurality of candidate paths for a plurality of media streams, where each of the candidate paths is characterized by a first set of performance attributes and each of the plurality of media streams is characterized by a set of stream parameters; jointly determining a respective path from among the plurality of candidate paths that satisfies the set of stream parameters for each of the plurality of the media streams; and coordinating transmission of the plurality of media streams via the jointly determined respective path for each of the plurality of media streams. According to some implementations, the method is performed by a device with one or more processors and non-transitory memory.
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公开(公告)号：US11611970B2
公开(公告)日：2023-03-21
申请号：US17195103
申请日：2021-03-08
Applicant: Cisco Technology Inc.
Inventor： Xiaoqing Zhu , Wai-tian Tan , Herb Wildfeuer
Abstract: A method is provided in a wireless access point in a wireless communications network. The method includes obtaining information characterizing a first wireless stream and the second wireless stream transmitted or received by the wireless access point. The information includes at least a wireless channel quality for each of the first wireless stream and the second wireless stream. The method further includes allocating transmission resources to the first wireless stream and the second wireless stream based on the obtained information. In response to a change in quality of the first wireless stream, the method further includes revising the allocation of transmission resources for the first wireless stream based on at least one of a target bit-rate and a target level of smoothness.
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公开(公告)号：US11144616B2
公开(公告)日：2021-10-12
申请号：US15439072
申请日：2017-02-22
Applicant: Cisco Technology, Inc.
Inventor： Wai-tian Tan , Rob Liston , John G. Apostolopoulos , Xiaoqing Zhu
Abstract: Presented herein are techniques for training a central/global machine learning model in a distributed machine learning system. In the data sampling techniques, a subset of the data obtained at the local sites is intelligently selected for transfer to the central site for use in training the central machine learning model. In the model merging techniques, distributed local training occurs in each local site and copies of the local machine learning models are sent to the central site for aggregation of learning by merging of the models. As a result, in accordance with the examples presented herein, a central machine learning model can be trained based on various representations/transformations of data seen at the local machine learning models, including sampled selections of data-label pairs, intermediate representation of training errors, or synthetic data-label pairs generated by models trained at various local sites.
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Patent Agency Ranking
公开(公告)号：US20210195607A1
公开(公告)日：2021-06-24
申请号：US17195103
申请日：2021-03-08
Applicant: Cisco Technology Inc.
Inventor： Xiaoqing Zhu , Wai-tian Tan , Herb Wildfeuer
Abstract: A method is provided in a wireless access point in a wireless communications network. The method includes obtaining information characterizing a first wireless stream and the second wireless stream transmitted or received by the wireless access point. The information includes at least a wireless channel quality for each of the first wireless stream and the second wireless stream. The method further includes allocating transmission resources to the first wireless stream and the second wireless stream based on the obtained information. In response to a change in quality of the first wireless stream, the method further includes revising the allocation of transmission resources for the first wireless stream based on at least one of a target bit-rate and a target level of smoothness.
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公开(公告)号：US10966216B2
公开(公告)日：2021-03-30
申请号：US16555501
申请日：2019-08-29
Applicant: Cisco Technology Inc.
Inventor： Xiaoqing Zhu , Wai-tian Tan , Herb Wildfeuer
Abstract: A method is provided in a wireless access point in a wireless communications network. The method includes obtaining information characterizing a first wireless stream and the second wireless stream transmitted or received by the wireless access point. The information includes at least a wireless channel quality for each of the first wireless stream and the second wireless stream. The method further includes allocating transmission resources to the first wireless stream and the second wireless stream based on the obtained information. In response to a change in quality of the first wireless stream, the method further includes revising the allocation of transmission resources for the first wireless stream based on at least one of a target bit-rate and a target level of smoothness.
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8.发明申请公开(公告)号：US20200287639A1
公开(公告)日：2020-09-10
申请号：US16292998
申请日：2019-03-05
Applicant: Cisco Technology, Inc.
Inventor： Shi Su , Kaidong Wang , Wai-tian Tan , Xiaoqing Zhu , Robert Edward Liston
IPC: H04B17/336 , H04L1/00 , H04B7/0452 , G06N3/08 , H04B7/06 , H04L25/02
Abstract: An access point (AP) is configured to transmit packets to a client device over a communication channel. The AP determines a motion indictor indicative of motion of the client device based on a sequence of channel state information measurements, and measures a signal-to-noise ratio (SNR). The AP selects a transmission parameter among candidate transmission parameters using a learning-based algorithm based on observation parameters including the motion indicator, the SNR, and a device identifier for the client device. The AP employs the transmission parameter to transmit packets to the client device, and measures a transmission performance associated with the transmission parameter based on the transmitted packets. The AP updates the learning-based algorithm based on the observation parameters and the transmission performance for a next pass through the selecting, the employing, and the measuring.
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9.发明申请公开(公告)号：US20180159777A1
公开(公告)日：2018-06-07
申请号：US15366814
申请日：2016-12-01
Applicant: CISCO TECHNOLOGY, INC.
Inventor： Michael A. Ramalho , Jon M. Snyder , Kashyap Kodanda Ram Kambhatla , Pal-Erik Martinsen , Wai-tian Tan , Paul Edwin Jones
IPC: H04L12/801 , H04L29/12 , H04L1/18 , H04L12/823 , H04W28/02
Abstract: A method is described and in one embodiment includes receiving at a first node in a communications network a message associated with a first flow, wherein the message comprises a flow treatment attribute including metadata indicative of how the first flow should be treated in the network; analyzing the flow treatment attribute at the first node; setting policy for treatment of the flow in the network based on the analyzing; and forwarding the message to a next network node.
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公开(公告)号：US09904883B2
公开(公告)日：2018-02-27
申请号：US15130239
申请日：2016-04-15
Applicant: Cisco Technology, Inc.
Inventor： Robert Edward Liston , Wai-tian Tan , John George Apostolopoulos
CPC classification number: G02B27/32 , G06Q10/0833
Abstract: In one implementation, a method of tracking assets includes obtaining a first image in a first optical domain, where the first optical domain is characterized by a first frequency range. The method also includes detecting a tracking apparatus (e.g., a tag) within the first image in the first optical domain, where a first feature of the tracking apparatus serves as a beacon enabling optical discrimination of the tracking apparatus in the first frequency range. The method further includes determining information associated with the tracking apparatus based on the arrangement of a second feature of the tracking apparatus provided to convey a data set associated with the tracking apparatus.
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