Beijing Baidu Netcom Science and Technology Co., Ltd.

International Business Machines Corporation

Beijing Bytedance Network Technology Co., Ltd.

Boe Technology Group Co., Ltd.

Nxp B.v.

Tsinghua University

Hefei Boe Optoelectronics Technology Co., Ltd.

Lemon Inc.

Hulu, LLC

Chinese Academy of Medical Sciences

Douyin Vision Co., Ltd.

Sinopec Engineering Incorporation

Xilinx Technology Beijing Limited

Hisilicon Technologies Co., Ltd.

Baidu Online Network Technology Co., Ltd.

Di Wu

Jia Zhao

Jingyuan Zhang

Jingbo Fan

Yuan Ye

Ruili Qiao

Yi Wang

Li Lei

Junyuan Xie

Chenliaohui Fang

Peng Zhao

Longyijia Li

Cheng Chen

Xiaobing Liu

Joey H Y Tseng

Simon P O'Doherty

Xi Bo Zhu

Dong Jun Zong

WuMi Zhong

Huan Zhang

Lizhe Zhang

Lei Wang

Wei Wang

Yang Liu

Ying Wang

Hui Zhang

Jun Zhang

Wei Feng

Hongmin Li

Lei Shi

Jizhou Huang

Meilin Li

Qionghai Dai

Zhibing Wang

Tao Xiong

Shiqiang Ding

Liangchao Wu

Yixiang Chen

Long Chang

Qi En Jiang

Long Huang

Lei Wu

Tao Song

Kan Liu

Ting Wang

Jan Jacob Koning

Yebin Liu

Hailong Liu

Xiaoxia Guo

Zhonghua Fang

Weiwang Zhang

Na Gao

Peiyu Guo

Huayang Xu

Joep Bontemps

Haidong Li

You Wang

Xijie Jia

Hongyuan Liu

Hanbo Sun

Wenchang Qiu

Lele Yu

Hongshuo Xu

Mengqi Huang

Longhong Yu

Shengyang Jiang

Yuwen Ding

Dan Duan

Yanyu Liu

Xiang Wu

Hailiang Niu

Hui Zhu

Ningbei Yin

Yongqian Wang

Ruoxing Huang

Shihao Shen

Lingyuan Zhang

Deliang Fan

A model construction method and an apparatus, and a medium and an electronic device are disclosed. The method is applied to a first participant platform, and includes: associating first configuration information pre-created by a first participant with second configuration information pre-created by a second participant; verifying the first configuration information; sending, to a second participant platform corresponding to the second participant, a second creation request for requesting the creation of the federated learning model, to cause the second participant platform to verify the second configuration information creating a first model task on the basis of a first parameter corresponding to the first configuration information; and performing co-training on the basis of the first model task and a second model task, to obtain the federated learning model.

Model construction method and apparatus, and medium and electronic device

Embodiments of the present disclosure provide a method and an apparatus of interaction video connection, an electronic device, and a storage medium. The method includes: receiving interaction match information pushed by a server, where the interaction match information includes first information of a second client, the first information of the second client is determined according to first data of a first client, the first data is used to indicate a match demand category corresponding to the first client; generating timing information, and displaying, according to the interaction match information, the timing information and the first information of the second client, where the timing information indicates a remaining duration before requesting an establishment of a video connection with the second client; and establishing, according to the timing information, the video connection with the second client.

Method and apparatus of interaction video connection, electronic device, and storage medium

The present disclosure relates to a data processing method, non-transitory medium and electronic device. The method includes: acquiring first user data and second user data, and initializing a first time window corresponding to the first user data and first time information corresponding to the first time window, as well as a second time window corresponding to the second user data and second time information corresponding to the second time window; determining first data and the first time information corresponding to the first time window based on the first user data; determining second data and the second time information corresponding to the second time window based on the second user data; based on the first data and the second data, determining alignment data corresponding to a same user from the first user data and the second user data.

Data processing method, and non-transitory medium and electronic device

Rust removal robot

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

Provided is a method for treating an oil gas, which can realize high-efficiency separation for and recovery of gasoline components, C, C, and Ccomponents. The method first conducts separation of light hydrocarbon components from gasoline components, and then performs subsequent treatment on a stream rich in the light hydrocarbon components, during which it is no longer necessary to use gasoline to circularly absorb liquefied gas components, which significantly reduces the amount of gasoline to be circulated and reduces energy consumption throughout the separation process. Besides, in this method, impurities, such as HS and mercaptans, in the stream rich in the light hydrocarbon components are removed first before the separation for the components. This ensures that impurities will not be carried to a downstream light hydrocarbon recovery section, thus avoiding corrosion issues caused by hydrogen sulfide in the light hydrocarbon recovery section.

Method and device for treating oil gas

A live streaming interaction method and apparatus, and a readable medium and an electronic device are provided. The method includes: in response to a selection operation of a user regarding target virtual objects in a live streaming viewing interface, displaying an object trigger operation control, the object trigger operation control being used for the user to perform a target operation to continuously trigger target virtual objects; and during the process of the user performing the target operation on the object trigger operation control, controlling a first display control to move along a first pre-set path, wherein the first display control is used for displaying, in real time, the number of target virtual objects currently triggered by the user.

Live broadcast interaction method and apparatus, and readable medium and electronic device

Mobile phone display screen with graphical user interface

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

Method for establishing a trust chain, comprising: requesting a third CA for a third key pair and a third certificate, writing a private key of the third key pair and the third certificate into a security storage area, the third certificate comprising model information of the smart television (SMTV) terminal and information of a public key of the third key pair. The SMTV terminal check its possession of a fourth certificate on every start, generate a unique fourth key pair in absence of a fourth certificate, submit online a public key of the fourth key pair and a unique identification of each SMTV terminal to a fourth CA to request for a fourth certificate, and send along the third certificate and a signature signed on the request with the private key of the third key pair; write the fourth certificate into the security storage area upon receiving the fourth certificate.

Smart television terminal and method for establishing a trust chain therefor

A pixel circuit includes a data written-in sub-circuit, a driving sub-circuit, a threshold compensation sub-circuit, a light-emitting element, a sensing sub-circuit and a first light-emission control sub-circuit. The driving sub-circuit is configured to control a driving current for driving the light-emitting element to emit light. The data written-in sub-circuit writes threshold compensation information into a second terminal of the driving sub-circuit at a compensation stage. The threshold compensation sub-circuit stores a data signal and adjusts a voltage at the second terminal of the driving sub-circuit in a coupled manner. The sensing sub-circuit writes a sensing voltage into a first terminal and the second terminal of the driving sub-circuit at a display process, senses aging information of the light-emitting element during an aging detection process and transmits the aging information to the aging detection device.

Pixel circuit, method of driving the same, aging detection method and display panel

The technical problem to be solved by the present invention is to design a cosmetic surgical method for presenting a deeper or longer philtrum at the lip by adjusting the muscle flaps at the lips and nose. The theoretical basis of this surgical method is a 'theory of labionasal muscle tension thread group' summarized from a series of studies with respect to anatomy, biomechanics and clinical surgical verification. According to this theory, the labionasal muscle tension structure is reconstructed by surgical adjustment of the position and direction of the muscle flaps, so as to produce an effect of changing the profile of the 'philtrum' and to improve or remodel the &#x201c;philtrum&#x201d; as an aesthetic labial structure.

Surgical method for reconstructing labionasal muscle tension structure

Mobile phone or portion thereof with graphical user interface

Growing community of inventors

Beijing, China

Di Wu