Abstract: A data processing method, an apparatus, a device and a medium are provided.

Abstract: According to the embodiments of the present disclosure, a data processing method, an electronic device, and a non-transitory computer-readable storage medium are provided. The method includes: obtaining initial prompt information generated based on a user input at a client; encrypting the initial prompt information using a first key to obtain encrypted prompt information; retrieving, from a plurality of encrypted knowledge segments, at least one first encrypted knowledge segment matching the encrypted prompt information, wherein the plurality of encrypted knowledge segments are encrypted using the first key; and obtaining, using a machine learning model and based on the at least one first encrypted knowledge segment, a reply to the user input.

Abstract: Disclosed is a device for multi-layer slot die coating and a coating method. The device comprises a first coating die, a second coating die, and a drying module. One end of the first coating die is connected with a first paste. The other end of the first coating die is configured to coat the first paste onto a substrate to form a first coating layer. One end of the second coating die is connected with a second paste. The other end of the second coating die is configured to coat the second paste onto the substrate to form a second coating layer. The drying module is disposed between the first coating die and the second coating die to dry a surface of the first coating layer such that a solid coating interface that causes the first coating layer and the second coating layer not to interfere with each other is formed.

Abstract: A vector retrieval method and apparatus, a medium, an electronic device and a program product. The method includes: acquiring a target vector to be retrieved and a target key; performing linear transformation on the target vector by using the target random number; performing a rotation operation on the target vector obtained after the linear transformation by using the target orthogonal matrix to obtain a first ciphertext vector; and sending the first ciphertext vector to a first server, so that the first server retrieves at least one second ciphertext vector that is similar to the first ciphertext vector from a knowledge vector base, ciphertext vectors in the knowledge vector base are generated based on the target key and a reference vector, and a generation manner of the ciphertext vectors is the same as a generation manner of the first ciphertext vector.

Abstract: The embodiment of this disclosure provides a method, an apparatus, a device and a computer readable storage medium for data processing based on a trusted execution environment. The method includes: a host device determines, based on a first parameter set, a first metric value for describing a target virtual machine hosted on the host device. The host device sends the first metric value to a client device via a trusted execution environment component of the host device. Next, the host device receives, from the client device via the trusted execution environment component, a decryption key for decrypting a first virtual image file of the target virtual machine; and runs, based on the decryption key, the first virtual image file to start the target virtual machine. Thereby, a user may implement a data processing system based on a trusted execution environment.

Abstract: Two-part condensation curable silyl-modified polymer (SMP) based sealant compositions, in particular two-part condensation curable SMP based translucent sealant compositions containing a catalyst comprising (i) a titanate and/or zirconate and (ii) a metal carboxylate salt.

Abstract: Embodiment of the disclosure provide a data access method and an apparatus, a device and a readable storage medium. The method includes: in response to a demand of processing the data resource generated in a target application, sending a data access authorization request for the data resource to a plurality of clients of the target application, the plurality of clients being associated with the data resource. The authorization information for the data access authorization request is received respectively from at least one of the plurality of clients. At least one access credential respectively corresponding to the at least one client is obtained based on the authorization information. The target data associated with the at least one client in the data resource is accessed with the at least one access credential to process the target data.

Abstract: A method of data processing for secure computation, a storage medium, and an electronic device are provided. The method includes: performing a data processing process based on a target protocol with the second party based on the first identification set, so that the second party obtains at least a first index number of an intersection of the first identification set and the second identification set in the first identification set; obtaining a first polynomial corresponding to each individual dimension of at least some dimensions in the h-dimensional features; computing values of the first polynomial on at least part of identifications in a target identification set with the second party to obtain a first shard of the values; and performing a target data processing task based at least on the first shard.

Abstract: According to embodiments of the disclosure, a method, an apparatus, a device and a medium for securely sharing key-value cache of a language model are provided. The method includes: obtaining request content input to a language model; recognizing protected information and non-protected information in the request content; determining, for a first part in the non-protected information whose matched key-value is absent from a shared key-value cache of the language model, a key-value corresponding to the first part and adding the key-value to the shared key-value cache, where a key-value of the protected information is not added to the shared key-value cache.

Abstract: The disclosure relates to a method, apparatus, electronic device and readable storage medium for vertical federated learning.

Abstract: The embodiment of this disclosure provides a method, an apparatus, a device and a computer readable storage medium for data processing based on a trusted execution environment. The method includes: a host device determines, based on a first parameter set, a first metric value for describing a target virtual machine hosted on the host device. The host device sends the first metric value to a client device via a trusted execution environment component of the host device. Next, the host device receives, from the client device via the trusted execution environment component, a decryption key for decrypting a first virtual image file of the target virtual machine; and runs, based on the decryption key, the first virtual image file to start the target virtual machine. Thereby, a user may implement a data processing system based on a trusted execution environment.

Abstract: The present disclosure relates to a trainer pairing method in federated learning model training, an electronic device, and storage medium. The method includes: obtaining, after the first trainer is started, a trainer number of the first trainer from a counter component; querying trainer numbers of a second participant in the counter component, and taking a second trainer corresponding to a target number as a pairing trainer of the first trainer when the target number being the same as the trainer number of the first trainer exists in the trainer numbers of the second participant; wherein the first trainer and the second trainer are configured to perform model training collaboratively in a federated learning process, and trainers started by the first participant and the second participant are numbered according to a same rule.

Abstract: The present disclosure relates to a model training method and a system based on federated learning, and an electronic device, the method includes: acquiring a sample intersection identifier list; determining a first sample subset and a sample subset identifier corresponding to the first sample subset based on the sample intersection identifier list and an original sample subset; and transmitting the sample subset identifier to a second trainer paired with the first trainer, so that the second trainer determines a second sample subset based on the sample subset identifier and the original sample set of the second participant, in which the first sample subset and the second sample subset are used for model training based on federated learning of the first trainer and the second trainer.

Abstract: This application provides a method including: determining, according to a resource allocation rule, downlink reference signal resources corresponding to a plurality of first resources used to carry an uplink reference signal in a plurality of uplink reference signal resources, where each uplink reference signal resource includes one or more first resources; determining, based on the downlink reference signal resource corresponding to each first resource, a precoding matrix corresponding to each first resource; and then sending a precoded uplink reference signal, where the precoded uplink reference signal is obtained by precoding the uplink reference signal based on the precoding matrix corresponding to each first resource.

Abstract: A one-part room temperature vulcanisable (RTV) silicone composition containing a catalyst comprising (i) a titanate and/or zirconate and (ii) a metal carboxylate salt which cures to a silicone elastomer which may be used as a clear sealant which avoids discolouration and loss of adhesion upon aging.

Abstract: The present disclosure provides a method for implementing secure model inference and a related device. The method includes: dividing at least partial convolution kernels of a first model in a trusted execution environment into a group(s), and performing obfuscation processing on the group(s) by using random information to obtain an encrypted second model, wherein obfuscation information used during the obfuscation processing is stored in the trusted execution environment, and the obfuscation information comprises grouping information of the convolution kernels and the random information corresponding to the group(s); deploying the second model in a model inference environment, and performing model inference on input information by using the second model to obtain a first output result; and processing the first output result by using the obfuscation information in the trusted execution environment to obtain a second output result.

Abstract: Determining content items promote long-term user engagement with a digital content platform is not trivial. Online learning systems or simulations that aim to learn and predict such content items are expensive to implement and may not always converge. One approach can involve modeling long-term engagement by examining user trajectories extracted from offline user session data. User trajectories may include user interactions with the platform over a long period of time. Rewards for a particular content item can be calculated using the user trajectories, where a reward is based on a window of user interactions that follows a user interaction with the particular content item. An estimate for the engagement score for the particular content item can be determined from the rewards. The engagement scores of various content items can be used as training data to train a model that can make inferences on long-term engagement potential of a content item.

Abstract: A method and apparatus for dual mode imaging uses an ultrasonic detection device, a diffuse optical tomography (DOT) detection device for imaging a breast. The DOT detection device is configured to detect changes of tissue blood oxygen. A host machine in communication with the ultrasonic detection device and the DOT detection device is used for imaging the breast by simultaneously generating functional images and structural information images of the breast based on the imaging.

Abstract: A data processing method and apparatus, an electronic device, a storage medium, and a product. Multiple shards of data of each datum in a data set are obtained; a first matrix is obtained according to the multiple shards of data; matrix operation is performed on the first matrix to obtain a second matrix; a shard data sorting result corresponding to the data set is obtained according to the first matrix and the second matrix; and the shard data sorting result is sent to a target party for determining a sorting result of data in the data set according to the shard data sorting result.

Abstract: The present disclosure provides a data processing method and apparatus, a computer device and a computer storage medium, wherein the method includes: performing blinding processing on target information to be transmitted to obtain blinded information; acquiring a plurality of pieces of first encryption information obtained by respectively performing encryption processing on the blinded information by a plurality of service participation ends; performing data fusion on the plurality of pieces of first encryption information to obtain second encryption information; and performing de-blinding processing on the second encryption information to obtain third encryption information as a ciphertext identification corresponding to the target information.