Vmware, Inc.

Beijing Bytedance Network Technology Co., Ltd.

Baidu Online Network Technology (beijing) Co., Ltd.

Thales Dis Cpl Usa, Inc.

Kan Liu

Ming Jin Chen

Leonid Vasetsky

Sheng Lu

Zhikai Chen

Jun Zhang

Di Wu

Cheng Chen

Jian Qiang Liu

Hao Zhao

Xiaobing Liu

Peng Zhao

Junyuan Xie

Chenliaohui Fang

Lizhe Zhang

Longyijia Li

Liangchao Wu

Long Chang

Yixiang Chen

Long Huang

Xiang Wu

YuBao Cheng

Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information () of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Method and apparatus for generating prediction information, electronic device, and computer readable medium

The invention is a method for controlling execution of an application. The method comprising:

Method for controlling execution of an application

The present disclosure relates to an information generating method and apparatus applied to a terminal device. A method may include: acquiring, in real time, a video frame image collected by a target camera; storing the acquired video frame image as a to-be-processed image; and inputting the to-be-processed image into a pre-trained user attribute recognition model, to obtain user attribute information of a user corresponding to a user image included in the to-be-processed image.

Information generating method and apparatus applied to terminal device

Techniques are disclosed herein for managing network bandwidth in a distributed system having multiple endpoints that upload data to a central server or server cluster. One embodiment provides a computer-implemented method that includes receiving a logical topology of the network that is determined based on network measurements. The method further includes generating a tree having links of the logical network topology as nodes, and allocating bandwidth during a traversal of the tree to obtain a bandwidth allocation scheme for the endpoints uploading data. In addition, the method includes controlling bandwidth consumption by the endpoints based on the determined bandwidth allocation scheme.

Reverse breadth-first search method for optimizing network traffic in a distributed system with a point of convergence

Techniques are disclosed herein for managing network bandwidth in a distributed system having multiple endpoints that upload data to a central server or server cluster. One embodiment provides a computer-implemented method that includes collecting network measurements from traffic flows in a network over which the endpoints upload the data to the central server or server cluster. The method further includes determining a logical topology of the network based on the network measurements, and solving an optimization problem to determine a bandwidth allocation scheme for the endpoints uploading data, wherein capacity of links in the logical topology are constraints in the optimization problem. In addition, the method includes controlling bandwidth consumption by the endpoints based on the determined bandwidth allocation scheme.

Method and system for optimizing network traffic in a distributed system with a point of convergence

Techniques are disclosed herein for managing network bandwidth in a distributed system having multiple endpoints that upload data to a central server or server cluster. One embodiment provides a computer-implemented method that includes receiving a logical topology of the network that is determined based on network measurements. The method further includes resolving a convex optimization problem over the logical topology to determine a bandwidth allocation scheme for the endpoints uploading data. In addition, the method includes controlling bandwidth consumption by the endpoints based on the determined bandwidth allocation scheme.

Resolving a convex optimization problem to optimize network traffic in a distributed system

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Beijing, China

Kan Liu