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Rhino Federated Computing - Data Analytics Tool

Data Analytics · Founded by Ittai Dayan in 2021

Rhino Federated Computing

Rhino Federated Computing

Securely connect and analyze decentralized data without transferring sensitive information.

Cost

Demo

Rating

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Time to value

Moderate Setup (1-3 hours)

You can use Rhino Federated Computing Platform to perform advanced analytics and machine learning on decentralized datasets without transferring sensitive information. This ensures data privacy and compliance with regulations while enabling collaborative insights across multiple institutions. The platform supports federated learning, allowing you to train models across different data sources securely. It also offers tools for data harmonization, making it easier to standardize and analyze heterogeneous data. With Rhino FCP, you can streamline AI lifecycle management, from data preparation to model deployment, all while maintaining strict data security and governance protocols.

What Rhino Federated Computing does

Connect to decentralized data sources securely.Standardize and harmonize data from multiple sources.Train machine learning models using federated learning techniques.Deploy AI models at the edge to process data locally.Implement role-based access controls for data and workloads.Utilize privacy-enhancing technologies to protect sensitive data.Monitor and manage AI models across distributed environments.Generate comprehensive audit logs for transparency and compliance.Federated Learning: Train machine learning models across decentralized datasets without transferring data.Data Harmonization: Standardize heterogeneous data sources for seamless analysis.Edge Computing: Process data locally to maintain privacy and reduce latency.Granular Access Control: Implement role-based access controls to manage data and workload permissions.Privacy-Enhancing Techniques: Utilize differential privacy and homomorphic encryption to protect sensitive information.Secure Code Deployment: Deploy custom code in secure containers to prevent data leakage.Comprehensive Audit Logs: Maintain full transparency and accountability with detailed logs.Regulatory Compliance: Adhere to standards like ISO 27001, SOC 2 Type II, HIPAA, and GDPR.

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