Beijing Bytedance Network Technology Co., Ltd.

Bytedance Inc.

Beijing Oriental Railway Technology Development Co., Ltd

Chinese Academy of Sciences

Douyin Vision Co., Ltd.

Xiaobing Liu

Junyuan Xie

Liangchao Wu

Di Wu

Cheng Chen

Peng Zhao

Chenliaohui Fang

Longyijia Li

Yixiang Chen

Long Chang

Zhiqiang Wang

Chao Guo

Lizhe Zhang

Chong Wang

Weihao Gao

Xiangsheng Pang

Long Huang

Qiang Li

Jun Zhang

Qin Li

Ying Jiang

Kan Liu

Xiaoli Liu

Jiankai Sun

Ninghui Sun

Zheng Cao

Xuejun An

En Shao

Jianming Fu

Xiang Wu

Hongyi Zhang

Wenzhi Xiao

Xiangjun Fan

Peiheng Zhang

Digital TV antenna

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

This application relates to an overload and unbalanced load detecting system for a railway and a detecting method. This system includes at least one steel rail. A rail web of each steel rail is provided with two sampling points at two sides between every two adjacent rail sleepers, respectively, and the two sampling points on one side are symmetrically disposed about the steel rail with respect to the two sampling points on the other side. A fiber-optic sensitive element used for continuously measuring a load when a train passes through the two sampling points is obliquely fixed at each sampling point, and two fiber-optic sensitive elements on the same side of each steel rail are disposed at an angle of 90° with each other.

Overload and unbalanced load detecting system for railway and detecting method

Provided are a method for processing model parameters, and an apparatus. The method comprises: a model parameter set to be sharded is obtained, wherein the model parameter set comprises a multi-dimensional array corresponding to a feature embedding; attribute information for a storage system used for storing the model parameter set to be sharded is obtained, wherein the storage system used for storing the model parameter set to be sharded differs from a system on which a model corresponding to the model parameter set to be sharded is located when operating; the model parameter set to be sharded is stored in the storage system according to the attribute information.

Method for processing model parameters, and apparatus

A network connection method and device for a training participant of a joint training model are provided, the training participant operates in a master-worker mode. The method includes: acquiring communication state information of a worker, the communication state information indicating a communication connection phase that the worker is in; acquiring communication state information of a target worker as target communication state information, where the target worker includes a peer node corresponding to the worker, and the peer node belongs to a different training participant of the joint training model; and resetting, in response to determining that the target communication state information does not match the communication state information of the worker, a communication connection phase that the worker is in.

Network connection method and device for training participant end of common training model

Disclosed in the embodiments of the present invention are a method and an apparatus for training an item coding model. The method comprises: acquiring an initial item coding model and a training sample set; using sample user information of training samples in the training sample set as the input for the initial item coding model to obtain the probability of sample item coding information corresponding to the inputted sample user information; adjusting the structural parameters of the initial item coding model to train an item coding model, the item coding model being used for characterizing the correspondence between inputted sample user information and sample item coding information and the correspondence between sample item information and sample item coding information. The present embodiment can use the trained item coding model to implement item recommendation and can use the item coding information as an index to increase retrieval efficiency.

Method and apparatus for training item coding model

Disclosed are a data protection method and apparatus, and a server and a medium. A particular embodiment of the method comprises: acquiring gradient associated information, which respectively corresponds to a target sample that belongs to a binary classification sample set with unbalanced distribution and a reference sample that belongs to the same batch as the target sample; generating information of data noise to be added; according to the information of said data noise, correcting an initial gradient transfer value corresponding to the target sample, such that corrected gradient transfer information corresponding to samples in the sample set that belong to different types is consistent; and sending the gradient transfer information to a passive party of a joint training model. By means of the embodiment, there is no significant difference between corrected gradient transfer information corresponding to positive and negative samples, thereby effectively protecting the security of data.

Data protection method and apparatus, and server and medium

An optical fiber detection device with a steel rail as an elastomer and a railway overload and unbalanced load detection system. The optical fiber detection device includes a shear force detection device, the shear force detection device includes an optical fiber sensitive element which is fixed on a neutral axis of the steel rail through low-energy spot welding.

Optical fiber detection device with steel rail as elastomer and railway overload and unbalanced load detection system

A method for integrating a many-core processor system with a network router comprises a subnet division step used for dividing an on-chip network into network requests in multiple subnet balance chips, and a network interface device deployment step used for deploying at least one network interface device in a subnet in a distributed mode in order to guarantee optimization of the connectivity between the deployed network interface device and the processor cores in the subnets and to implement rapid data exchange of the on-chip network or the inter-chip network. A many-core processor system integrated with a network router comprises a network router used for network interfacing and data exchange, and comprising multiple network interface devices embedded into the on-chip network in a distributed mode.

Many-core processor system integrated with network router, and integration method and implementation method thereof

Growing community of inventors

Beijing, China

Xiaobing Liu