Accelerating Secure Cross-Site Data Collaboration with Federated Computing

Cross-site data collaborations pose many challenges: discovering relevant data partners, balancing data access to partners without violating patient privacy or data security, harmonizing data to a common data model, cross-site ML Ops, working across cloud vendors, etc. Data centralization or clean rooms cannot comprehensively address these challenges. Rhino Federated Computing can help.

The Rhino Federated Computing Platform enables data collaboration using federated learning, edge computing, and generative AI, eliminating the need for data transfer. Trusted by over 50 leading hospitals, pharmaceutical companies, and public sector organizations. Rhino harmonizes data, enables federated analytics, and supports secure AI model training.

The webinar will cover the application of Federated Computing for:

• Cross-institution Federated Learning
• Responsible AI Development
• Proactive Surveillance
• Quality & Safety Measure Development
• Complying with the NIH Data Management Mandate

We are pleased to offer 1 continuing professional education (CPE) credits to those that attend the event.