9 results about "Distributed enterprise" patented technology

The invention relates to the technical field of federated learning, and discloses a dynamic perception credibility evaluation system and method for cross-modal federated learning, and the method comprises the steps: obtaining local multi-modal features, constructing a time-varying condition dependence matrix, and generating shared statistical information; analyzing a cross-node dependency relationship, constructing a federal causal map, and outputting an inter-modal effect separation result; local model parameters are compressed, the minimum sufficient statistics are extracted, and model contribution characterization is output; calculating a time-varying weight of the node credibility, and outputting a dynamic node contribution degree; executing adaptive federal aggregation, generating global model credibility evaluation, and outputting a dynamically perceived global model; according to the invention, a more reliable and more accurate model evaluation and aggregation mechanism is provided for the distributed enterprise federated learning system, and the overall performance and stability of the system are effectively improved.

The invention discloses a financial resource recommendation method and device oriented to medium and small enterprises and a storage medium. The method comprises the steps that enterprise feature data are distributed to multiple heterogeneous special agents in a multi-agent collaboration architecture in parallel for dynamic collaboration processing, and a confidence score, a dynamic risk assessment report and a financial health score are obtained; deploying model parameters of a confidence weighted fusion model by adopting confidence scores to adjust enterprise dimension contribution weights of the dynamic risk assessment report and the financial report; generating an enterprise comprehensive portrait through an adjustment result; and vectorizing the enterprise comprehensive portrait to obtain an enterprise feature vector, mapping the enterprise feature vector to a high-dimensional vector space of the financial product knowledge graph, and carrying out multi-round progressive matching to generate a personalized financial product recommendation scheme. The comprehensive enterprise portrait is constructed through multi-agent cooperation, accurate product matching is realized in combination with the knowledge graph, product recommendation is provided, the accuracy and personalization of financing recommendation are effectively improved, and the financing success rate of small and medium-sized enterprises is remarkably improved.

AI-Driven Intrusion Detection Device for Adaptive Threat Monitoring in Distributed Enterprise Networks

The application relates to the technical field of federated learning, and discloses a dynamic perception credibility evaluation system and method for cross-modal federated learning, wherein the dynamic perception credibility evaluation method for cross-modal federated learning comprises the following steps: acquiring local multi-modal features and constructing a time-varying conditional dependence matrix to generate shared statistical information; analyzing cross-node dependence relationships and constructing a federated causal graph to output an inter-modal effect separation result; compressing local model parameters and extracting minimum sufficient statistics to output model contribution representation; calculating time-varying weights of node credibility to output dynamic node contribution degrees; performing adaptive federated aggregation and generating global model credibility evaluation to output a dynamically perceived global model; and the application provides a more reliable and more accurate model evaluation and aggregation mechanism for a distributed enterprise federated learning system, and effectively improves the overall performance and stability of the system.

The application discloses a small and medium-sized enterprise-oriented financial resource recommendation method and device and a storage medium, comprising: distributing enterprise characteristic data in parallel to multiple heterogeneous special agents in a multi-agent cooperation architecture for dynamic cooperation processing to obtain a confidence score, a dynamic risk assessment report and a financial health score; adopting the confidence score to deploy model parameters of a confidence weighted fusion model to adjust enterprise dimension contribution weights of the dynamic risk assessment report and the financial report; generating an enterprise comprehensive portrait through the adjustment result; and vectorizing the enterprise comprehensive portrait to obtain an enterprise characteristic vector and mapping the enterprise characteristic vector to a high-dimensional vector space of a financial product knowledge graph for multiple rounds of progressive matching to generate a personalized financial product recommendation scheme. The application constructs a comprehensive enterprise portrait through multi-agent cooperation, realizes accurate product matching by combining a knowledge graph to provide product recommendation, effectively improves the accuracy and personalization of financing recommendation, and significantly improves the financing success rate of small and medium-sized enterprises.

The embodiment of the invention provides a target enterprise data and target personnel data matching method and system, and relates to the technical field of data processing. The method comprises the steps of screening out a target enterprise data group based on historical data; to-be-distributed enterprise data and candidate person list data are screened out based on real-time data, and the real-time data comprise a target enterprise data group; calculating a first matching degree value of the to-be-allocated enterprise data and the candidate person list data; determining the to-be-allocated enterprise data and the candidate person list data of which the first matching degree values are greater than or equal to a preset threshold as target enterprise data and target person data; the specified target personnel data are in butt joint with the target enterprise data. Through one embodiment of the invention, the problem that the success rate of matching the customer manager data with the to-be-served enterprise data is low in the prior art is at least solved, and the effect of improving the success rate of matching the customer manager data with the to-be-served enterprise data is achieved.

This invention proposes a distributed enterprise WeChat private domain traffic management system, which solves the problems of poor availability and high potential for single point of failure when enterprise WeChat robots handle repetitive maintenance information. The solution includes the following steps: S1, after the cloud platform reads the current simulator configuration from the configuration center, it schedules simulators with an equal number and corresponding robot accounts. The simulator reads its corresponding account configuration from the configuration center based on the robot account information and completes initialization; S2, the cloud platform renews all simulators and enterprise WeChat accounts periodically through one-to-one corresponding leases, determines the failure of simulators that have not been renewed within the specified period, and reschedules the simulators and enterprise WeChat account lease bindings; S3, when it is necessary to send a message to a customer, the cloud platform queries the customer's corresponding robot, generates the corresponding robot's message in the message queue, and the simulator consumes the message list of the corresponding robot account, pushes and marks it.

The invention provides an enterprise budget intelligent prediction and distribution method and system, and relates to the technical field of data processing, and the method comprises the steps: building a budget data warehouse, differentiated intelligent prediction, multi-objective optimization distribution, and selecting a scheme according with demands. The technical problems that in traditional budget management, prediction lacks scientific data support, and distribution lacks an optimization mechanism are solved, compared with the prior art, the budget data warehouse integrates budget basic data and service-driven feature data, high-quality input is provided for prediction, and the prediction efficiency is improved. The differential prediction model generates accurate point prediction and interval prediction results for different budget subject characteristics, the multi-target optimization model realizes scientific configuration of resources by taking the prediction results as a core, and a target budget allocation scheme selected by combining management layer decision preference gives consideration to expected income, risk control and strategic integrating degree. The actual operation requirements of enterprises are met, the accuracy of budget prediction and the resource configuration efficiency are remarkably improved, and the budget compilation period is shortened.

A system (100) for autonomous, privacy-preserving data analysis in enterprise software, comprising: a data ingestion and classification module configured to collect and classify data from distributed enterprise sources based on sensitivity and context; a policy management module configured to apply dynamic data protection rules and regulatory compliance policies to the classified data; a consent and access control module configured to enforce user permissions, roles, and data subject rights based on predefined or dynamically acquired consents; a federated analysis module configured to perform decentralized data analysis across multiple nodes without transmitting raw data; a secure computation module configured to perform encrypted computations using homomorphic encryption and differential data protection; an automated monitoring and auditing module configured to log all data access, analysis activities, and policy enforcement actions in real time; and A module for gaining insights and visualization, configured to generate and display privacy-compliant analysis results via dashboards and reports.