What's New at Rhino? July 2025
Business Updates
Dr. Ittai Dayan to Speak at The Economist's AI in Health Summit
We're excited to announce that Rhino Federated Computing Co-founder & CEO Ittai Dayan will be a featured speaker at The Economist's AI in Health Summit on October 1st, 2025, in London. Dr. Dayan's presentation, titled "Data, privacy, bias," will tackle the fundamental challenges facing AI deployment in healthcare today.
The speech will explore how federated computing serves as the cornerstone for secure, privacy-preserving collaborations across healthcare organizations, ultimately unlocking AI's full potential in healthcare and life sciences. Dr. Dayan will demonstrate the compelling advantages of federated computing over traditional approaches like cloud digital clean rooms or data centralization, including enhanced privacy and security through in-place data processing, improved governance with reduced liability and cyber risk, significant cost savings by eliminating egress and transfer fees, real-time data freshness capabilities, and cross-platform flexibility that enables broad consortia formation.
The discussion will also delve into the critical intersection of privacy-enhancing technologies such as differential privacy and k-anonymization with robust security measures including end-to-end encryption and role-based access control. Learn more about the summit.
Sponsoring Out of Pocket Healthcare Data Camp
Rhino FCP is proud to sponsor the upcoming Out of Pocket Healthcare Data Camp, where industry leaders will gather to discuss the latest innovations in healthcare data management and analytics. We're particularly excited to highlight the participation of Nisim Rahman from Sheba Medical Center, whose insights into real-world healthcare data challenges will be invaluable to the federated computing community. This event represents another opportunity to showcase how federated learning can transform healthcare data collaboration while maintaining the highest standards of privacy and security. Event details available here.
Joining EFPIA: Advancing Federated AI in Pharmaceutical Research
We're pleased to announce Rhino FCP's partnership with the European Federation of Pharmaceutical Industries and Associations (EFPIA), marking a significant milestone in our mission to advance federated AI applications in pharmaceutical research. This collaboration underscores our commitment to enabling secure, privacy-preserving data partnerships that can accelerate drug discovery and development while maintaining strict compliance with regulatory requirements. The partnership positions Rhino FCP at the forefront of industry efforts to harness the power of distributed data for pharmaceutical innovation. Read our full announcement.
Latest Developments in Federated Learning Applications
Our recent analysis of federated learning applications in Q2 2025 reveals remarkable growth and innovation across multiple sectors. From healthcare consortiums leveraging multi-institutional data for clinical research to financial services organizations collaborating on fraud detection while maintaining data sovereignty, federated learning continues to demonstrate its transformative potential. The report highlights emerging use cases in pharmaceutical research, medical imaging, and population health studies, showcasing how organizations are achieving breakthrough insights without compromising data privacy or security. These developments reinforce our belief that federated computing represents the future of collaborative AI, enabling organizations to unlock collective intelligence while preserving individual data control. Explore the full Q2 2025 update.
July Product Updates
Enhanced Security with Confidential Computing Support
Rhino FCP now offers hardware attestation for Rhino Clients, representing a significant advancement in our security capabilities. This combination of federated learning and confidential computing delivers best-in-class protection for training on remote data while maintaining absolute data privacy. Our enhanced confidential computing support now includes hardware attestation of Rhino Client hardware, complementing our existing software attestation capabilities. This dual-layer approach ensures that only approved, verified hardware can execute confidential workloads, providing organizations with unprecedented assurance when processing sensitive data.
Expanded Cloud Integration with Azure Blob Storage
Client-mounted storage capabilities have been expanded to include Azure Blob Storage, joining our existing support for AWS S3, Google Cloud Storage, and SMB. This enhancement provides greater flexibility for organizations operating in multi-cloud environments or those with specific Azure infrastructure requirements. The seamless integration ensures that data can remain in its native environment while participating in federated computing workflows, reducing data movement requirements and associated costs.
Advanced Code Object Management
Rhino FCP introduces sophisticated publishing and unpublishing capabilities for Code Objects and Code Runs, addressing the need for controlled visibility during development and testing phases. While all project participants can typically view all Code Objects and Code Runs, this new feature allows for selective visibility control. Organizations can now configure project permissions to limit initial access to specific workgroups, with the ability to "publish" finalized Code Objects or Code Runs to make them visible to all project participants. This capability, previously available only through the Rhino SDK, is now accessible directly through the Rhino Web UI, streamlining the development workflow for all users.
Improved Data Harmonization Accuracy
Rhino’s Generative AI-driven data harmonization capability has received a significant upgrade with an enhanced Semantic Mapping model that delivers substantially improved accuracy. The new model leverages advanced embeddings to better identify terms with similar meanings, utilizing a specialized embedding model fine-tuned specifically on clinical term mappings. This improvement enhances accuracy for common medical terminologies, ensuring more reliable data harmonization across diverse healthcare datasets and reducing the manual effort required for term mapping validation.
SDK Support for Automated Data Harmonization
Recognizing the importance of automation in production environments, Rhino FCP now supports direct execution of data harmonization Code Objects through the Rhino SDK. This enhancement enables seamless integration into ETL processes and production systems, with full SDK support for reading, creating, and updating Syntactic Mappings, Semantic Mappings, and Custom Vocabularies. Organizations can now automate mapping creation using the Rhino Harmonization Copilot, significantly reducing manual intervention and enabling scalable data harmonization workflows.
Simplified Infrastructure Provisioning
To streamline the deployment process for Rhino Clients, we've developed comprehensive Terraform modules for Google Cloud Platform, Amazon Web Services, and Microsoft Azure. These example modules simplify hardware provisioning and reduce the time required to establish federated computing infrastructure. The modules follow best practices for each cloud provider while ensuring optimal configuration for Rhino Client operations, enabling organizations to rapidly deploy and scale their federated computing capabilities across their preferred cloud environments.
