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Federated Platform
A Trustworthy Federated Platform Ensuring Rigorous Data Governance and Regulatory Compliance
Why
Federated Platform
FedNode ensures your data stays on-premise, guaranteeing data sovereignty and privacy from the ground up. With flexible deployment, FedNode integrates seamlessly into your existing IT infrastructure—be it physical machines, virtual machines, or cloud environments. Its scalable design enables rapid setup and effortless expansion, adapting to your evolving business needs.
FedNode
Responsible AI & Trustworthy AI
Trustworthy Federated Turnkey Solution: An all-encompassing AI platform that meets the diverse needs of users, integrating data governance, AutoML, federated learning, federated validation, and federated analysis functionalities.
The federated platform employs data governance to comply with GDPR for data privacy protection and respect for human rights. We utilize big data analysis to enhance clinical decision-making and patient management, and conduct cross-site model training and validation to provide more accurate predictions, increasing the possibility of patients' recovery.
Services & Compliance
Global Standards Certified, Trusted for Real-World Deployment! Federated Platform fully complies with international regulations and industry standards, ensuring secure and reliable data governance, model development, and application.
OECDDMA
HIPAAAI ActGDPR

Federated Platform

Comprehensive Feature Set

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Federated Data Governance

Trustworthy Data Governance

Intelligent Data Parsing to Processing
Intelligent Data Parsing to Processing

Intelligent Data Parsing to Processing

Intelligent CDM Generation to Enable Interoperability

Intelligent CDM Generation to Enable Interoperability

Task-Oriented Annotation

Task-Oriented Annotation

Smart Data Processing

Smart Data Processing

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Federated Analytics

Data Science as a Service

Data Science as a Service
Cross-Institutional Statistical Analysis

Cross-Institutional Statistical Analysis

Sub-group & Time-series Analysis

Sub-group & Time-series Analysis

Reusable Analytics

Reusable Analytics

Industry-specific Suites

Industry-specific Suites

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Federated Validation

Test Your Models with Real-world

Test Your Models with Real-world
Model Self-Evaluation & Cross-site Validation

Model Self-Evaluation & Cross-site Validation

Root-cause Analysis

Root-cause Analysis

Continuous Monitoring

Continuous Monitoring

Industry Compliance & Reporting

Industry Compliance & Reporting

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Federated Learning

Train locally, Improve Globally

Train locally, Improve Globally
Automated Dataset & Algorithm Setting

Automated Dataset & Algorithm Setting

Multi-site Federated Learning

Multi-site Federated Learning

Algorithm Parameter Tuning & Self-improvement

Algorithm Parameter Tuning & Self-improvement

Model Weight Aggregation & Federated Sharing

Model Weight Aggregation & Federated Sharing

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Federated Store

Train locally, Improve Globally

Train locally, Improve Globally
Showcase Anything You Want to Publish

Showcase Anything You Want to Publish

Secure Delivery Mechanism

Secure Delivery Mechanism

Standardized Publishing Process

Standardized Publishing Process

Subscription & Licensing

Subscription & Licensing

Use Cases

Adhering to the strictest standards and trusted, responsible governance principles, the Federated Platform is designed to meet the diverse needs of various user roles. The following five usage scenarios demonstrate how the platform creates value for users with different backgrounds, enabling every participant to find the most suitable collaboration model and application scenario while protecting privacy.

use case
Data Owner
Manage and govern local datasets in compliance with international standards while participating in federated analytics, validation, and learning without exposing raw data.
use case
Model & Algorithm Providers
Contribute, maintain, and validate models or algorithms, supporting federated network learning, standardized publishing, and secure delivery to generate economic value.
use case
Explorers & Learners
Explore available models, meta-datasets, and toolkits in secure environments for learning, experimentation, or pilot testing.
use case
Decision Makers & Regulators
Monitor model performance and data quality, review compliance, and support strategic or regulatory decisions.
use case
Offline Practitioners
Operate fully offline to independently govern data, train models, and monitor performance in secure environments.
Federated Platform Introduction Video
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