Edition 02 This edition highlights how Federated Computing transitions siloed data into a unified,...
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Edition 03
In this month's edition, we're breaking down industry updates on Federated Computing, sharing the latest insights on agentic AI and some exciting product news - the launch of the Rhino Model Context Protocol (MCP)! This new update makes it easy for non-software engineers to take advantage of the full capabilities of the Rhino platform.
Join us at the Federate AI Summit!
October 19, 2026 | Boston Seaport
This Summit will bring leaders across industries and enterprises together to discuss shared challenges, practical insights, and use cases to help future-proof AI infrastructure and drive enterprise innovation and value.
June 18, 2026
2026 DIA Global Annual Meeting: Why Federated Learning Reduces Friction
June 18, 2026
Tomorrow’s healthcare: united by purpose, powered by real-world data and AI
June 15, 2026
How the Rhino MCP Democratizes Federated Computing
May 28, 2026
Agentic AI Adoption is Grounded on Federated Computing
May 27, 2026
Beyond Data Silos: How Federated Computing Unlocks AI Without Compromising Privacy
May 14, 2026
Rewiring Clinical Trials: Predictive, Collaborative, and Federated
May 6, 2026
FDA Expands AI Capabilities and Completes Data Platform Consolidation
May 5, 2026
Rhino Federated Computing Named to the 2026 CB Insights’ List of the 100 Most Innovative Artificial Intelligence Startups
May 5, 2026
From data to inference: Why AI governance matters for central banks in developing economies
Welcome to the Newest TuneLab Members
Lilly TuneLab expands to more than 100+ biotechs as SKLS Labs, 1st Biotherapeutics, Insitro, Seal Rock, Tes Pharma, Ferrer, Trotana, Winnow, Amyloid, Protego Bio, Ignota Labs, Terray, Ari Bio, Xenon Pharmaceuticals, Augustine Therapeutics, Prellis Bio, Prive Bio, Pharos iBio, Graviton, Epana Bio, Hemispherean, Topos Bio, Ampersand Bio, Abilita, Axcelead, and Protein Innovation have joined in the last few months.
Lilly TuneLab provides access to AI/ML small molecule ADMET prediction models and antibody property prediction models, trained on proprietary Eli Lilly data. Lilly TuneLab is built on the Rhino Federated Computing Platform, which allows member companies to train more robust models while keeping their data in a private environment.
May 8, 2026
NVIDIA
Federated Learning in Healthcare: From Research to Real-World Deployment
Rhino Model Context Protocol (MCP)
The Rhino MCP Server connects your AI assistant directly to the Rhino Federated Computing Platform. Through natural language, you can tap into powerful AI Agent capabilities while preserving data sovereignty and privacy.
Best used for:
- Cohort Building
- Predictive Modelling
- Data Harmonization
- Hyperparameter Tuning
Watch the live demo recording here.
Read the blog to learn more.
Upcoming
Federated Data Science Workflows
June 30, 2026
Speakers:
- Tom Heys, Director, Product Marketing, Rhino Federated Computing
- Daniel Feller, PhD, Senior Solutions Engineer, Rhino Federated Computing
In this live 30 min. demo, we'll walk through a real federated data science workflow end-to-end — all using familiar tools on private data that never leaves the collaborating organizations. If you're a data science or AI innovation leader who has ever hit a wall because the data you needed was locked behind legal, compliance, or competitive barriers, this is the session for you.
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Federated Learning & Differential Privacy: Architects for Secure AI Collaboration
July 15, 2026
Speakers:
- Adrish Sannyasi, VP Customer Solutions and Delivery, Rhino Federated Computing
- Maxim Afanasyev, PhD, FSI Head for AIPAC and Japan, Google Cloud
In this session, industry experts will cover the architectural patterns making secure, multi-party AI collaboration a production reality. We'll walk through how federated learning keeps raw data secure inside each institution’s boundaries, how differential privacy provides provable guarantees against re-identification, and how these techniques work together with accelerated computing to power real-time AML, fraud, and sanctions workflows.
Watch the Recording
Federated Agentic AI: Unlocking Siloed Data at Scale
This demo showed how highly regulated organizations can deploy AI agents on decentralized data to create a unified, privacy-preserving context layer to drive understanding and action.
Federate AI Summit
October 19, 2026 | Boston Seaport
This Summit will bring leaders across industries and enterprises together to discuss shared challenges, practical insights, and use cases to help future-proof AI infrastructure and drive enterprise innovation and value.
Recent Highlights
Federate AI Executive Forum
Senior leaders across industries gathered in Boston for the first Federate AI Executive Forum. Discussions focused on:
- How to move beyond the constraints of data centralization with Federated Computing
- Driving enterprise value for drug discovery, enhancing fraud detection, and optimizing operational workflows
- Overcoming regulatory barriers
- Trends and emerging technologies that are defining the next decade of AI leadership
After a day of sessions, we hosted our attendees for an exclusive evening at the England vs. Ghana World Cup match!
AWS Life Sciences Symposium
The Rhino team was in the Innovation Hub at AWS Life Sciences Symposium.
ASAP Summit
Presentation: Federated Collaboration in Practice: What Works (and What Doesn't) for Alliance Leaders
- Kimberly Cline, Head of Cloud Partnerships
- View presentation insights >>
SCOPE X
Keynote Intro: Less Burden, More Enrollment: Deploying Pre-Screening AI Across Sites Without Moving Data
- Elke Nelson-Nichols, VP, Life Sciences
- View presentation insights >>
TechX Edge Computing Expo
Presentation: Collaborative Edge Computing: A Rising AI Tide Lifts All Boats
- Adrish Sannyasi
- View presentation insights >>
Panel: Turning Data into Action with AI at the Edge - Key Strategies for Success in Business
- Chris Laws
Panel: From Hype to Impact - What's Next for the Enterprise AI Agents?
- Adrish Sannyasi
FLICS
Presentation: Federated Learning to Federated Computing: A truly global platform
- Abigail Cember and Tony Buschiazzo
- View presentation insights >>
Panel: From Intelligent Systems to Sustainable Societies: A Cross-Disciplinary Dialogue
- Adrish Sannyasi
DIA Global Annual Meeting
Panel: Accelerating AI-Enabled Drug Discovery and Development with Federated Computing
- Ittai Dayan, Rhino Federated Computing
- Kyle Tretina, NVIDIA
- Nadia Harhen, SandboxAQ
- Jonathan Gilbert, Eli Lilly
Upcoming Stops
September 14-16 | ASME DRIVN
October 26 | IEEE International Conference on Federated Learning Technologies and Applications (FLTA25)
October 27-29 | AI Drug Discovery & Development Summit (AIDDD)
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