We're pleased to share a new user example available now on Rhino's GitHub repository, demonstrating how to use Streamlit seamlessly with the Rhino Federated Computing Platform (Rhino FCP). Streamlit is an open-source Python framework that simplifies building interactive web apps. This example highlights how easy it is to build an interactive federated visualization layer that maintains data privacy while enabling real-time insights across distributed datasets. We are deploying this capability with partners for several applications including cross-institution comparative outcomes analysis and facilitating exploratory analysis between data custodians and commercial partners. Check out our GitHub to learn more: https://lnkd.in/g3EcspPz #FederatedComputing #FederatedData #DistributedData #Streamlit #RhinoFederatedComputing
Rhino Federated Computing
软件开发
Boston,Massachusetts 6,634 位关注者
Take AI to the Edge with Federated Computing
关于我们
The Rhino Federated Computing Platform allows enterprises to set up computation pipelines on distributed data sources in days, not months - while still respecting confidentiality, privacy and data sovereignty. Rhino FCP is powered by Edge Computing and Federated Learning - innovative techniques that ‘bring code to the data’, training AI models locally in order to arrive at better outcomes for applications such as drug discovery and fighting financial crime.
- 网站
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https://www.rhinofcp.com/
Rhino Federated Computing的外部链接
- 所属行业
- 软件开发
- 规模
- 11-50 人
- 总部
- Boston,Massachusetts
- 类型
- 私人持股
- 创立
- 2021
- 领域
- Medical Data Management、Collaborative Tools、Medical Imaging、Digital Pathology、Continuous Learning、Computer Vision、Distributed Computing、Machine Learning、Big Data、federated learning、artificial intelligence、edge computing、cloud computing、fraud detection和financial crime
地点
Rhino Federated Computing员工
动态
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Just one week away from our webinar "Federated AI for Biopharma". Register here to join the discussion on how leading biopharmas are building proprietary federated data networks and accelerating drug discovery with collaborative AI: https://lnkd.in/eNZFwEmP
Interested in applications of and challenges related to AI or RWD in life sciences? Join us on March 25 at 2 PM ET for our webinar "Federated AI for Biopharma: the Future of R&D." Data collaborations among pharmacos, health systems, payors, regulators, and others is crucial for innovation in life sciences, but traditional approaches often face hurdles due to privacy concerns and regulatory barriers. Federated computing enables secure, real-time insights across organizations—unlocking new possibilities for drug discovery, clinical research, and beyond. Rhino’s Co-founder & CEO Ittai Dayan and VP of Life Sciences Elke S. Nelson-Nichols, PhD, MBA will explore how federated computing is transforming biopharma by enabling organizations to collaborate without compromising data privacy and data sovereignty. They'll cover ?? What is Federated Computing, and why does it matter for biopharma? ?? How can Federated Computing accelerate drug development and improve clinical research? ?? Real-world examples of Federated Computing driving impact in life sciences Register here: https://lnkd.in/eNZFwEmP #FederatedComputing #FederatedLearning #Biopharma #LifeSciences #DataCollaboration #PrivacyPreservingAI
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Working at the intersection of AI and biopharma? In Boston or here for #BioITWorld2025? Come join Rhino Federated Computing and our partners at Google Cloud for a reception on April 2. This will be a chance to connect with the teams from both orgs and learn how our joint offerings solve one of the biggest challenges in the AI and data space - seamlessly connecting siloed data through federated computing to accelerate drug discovery, real-world evidence generation, multi-site clinical research, and privacy-preserving AI in biopharma. Registration link in the comments!
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Banking relies on data-driven insights for a variety of applications including underwriting & credit scoring, risk management, compliance and customer experiences. Cross-bank or bank-3rd party data collaborations have tremendous value for these applications. However, privacy regulations, security concerns, and siloed infrastructures create barriers to large-scale data collaboration. Federated Computing provides a transformative solution by enabling banks to collaborate on AI and analytics while keeping sensitive data within their own secure environments. Rhino Federated Computing recently published a white paper on how Federated Computing can unlock significant potential in banking. This paper covers a variety of applications, how Federated Computing compares to alternatives, and provides an introduction to the Rhino Federated Computing Platform. Read the full paper here: https://lnkd.in/dvwZxq2n #FederatedComputing #FederatedLearning #Banking #FinancialServices #RhinoFederatedComputing
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Galen Growth | Insights You Can Trust recently named Rhino Federated Computing one of the most-promising healthtech startups of 2025 - recognizing the potential of Federated Computing to transform the way organizations collaborate with data. Read the full story here: https://lnkd.in/eUbS_VPQ
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Interested in applications of and challenges related to AI or RWD in life sciences? Join us on March 25 at 2 PM ET for our webinar "Federated AI for Biopharma: the Future of R&D." Data collaborations among pharmacos, health systems, payors, regulators, and others is crucial for innovation in life sciences, but traditional approaches often face hurdles due to privacy concerns and regulatory barriers. Federated computing enables secure, real-time insights across organizations—unlocking new possibilities for drug discovery, clinical research, and beyond. Rhino’s Co-founder & CEO Ittai Dayan and VP of Life Sciences Elke S. Nelson-Nichols, PhD, MBA will explore how federated computing is transforming biopharma by enabling organizations to collaborate without compromising data privacy and data sovereignty. They'll cover ?? What is Federated Computing, and why does it matter for biopharma? ?? How can Federated Computing accelerate drug development and improve clinical research? ?? Real-world examples of Federated Computing driving impact in life sciences Register here: https://lnkd.in/eNZFwEmP #FederatedComputing #FederatedLearning #Biopharma #LifeSciences #DataCollaboration #PrivacyPreservingAI
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Rhinos Chris Laws and Adrish S. will be representing the crash at #GTC2025, where they will present "Federated Computing In The Real World: From Drug Discovery to Fraud Detection". Reach out to discuss how Federated Computing can accelerate your organization's data & AI strategy by connecting decentralized data silos: [email protected]. https://lnkd.in/eseJ4wF8 #FederatedComputing #FederatedLearning #GTC2025 #NVIDIA
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Short month, but lots of news from the Rhino team in February! ?? We've teamed up with Flower Labs to integrate their federated learning framework into the Rhino Federated Computing Platform (Rhino FCP). This collaboration adds further flexibility for Rhino FCP users while still preserving all of our security & privacy preservation controls. ?? In collaboration with Carahsoft and Google Cloud, we hosted a webinar for National Institutes of Health researchers, focusing on accelerating cross-site data collaborations using Federated Computing. Missed it? Access the recording here: https://lnkd.in/eHQQSKfG ?? Rhino FCP is now listed on the Amazon Web Services (AWS) Marketplace, simplifying procurement for AWS users. (NB: We're also available on the GCP Marketplace, with Azure Marketplace coming soon.) Platform Updates: ?? Simplified Storage Integration: Admins can now mount storage directly from the Rhino FCP GUI. ?? New SDK Guide: Our updated SDK guide offers an easy onboarding experience. ?? Enhanced Security: Rhino Clients now require only a single outbound port, streamlining installation and security. Read the full update here: https://lnkd.in/e6g_vpjE and contact us to learn more about any of these items! [email protected]
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Partnership update: Rhino Federated Computing and Flower Labs have joined forces to accelerate Federated Learning adoption across industries. By running Flower’s leading open-source federated AI framework within the enterprise-grade security & confidentiality Rhino Federated Computing Platform environment, organizations can now deploy secure, scalable, and privacy-preserving AI solutions faster than ever. As Rhino co-founder & CEO Ittai Dayan puts it, “Rhino is proud to offer the world’s leading enterprise-hardened Federated Computing Platform. Adding Flower’s framework will broaden collaboration and deliver massive value to all participants.” Daniel J. Beutel, Flower Labs Co-Founder & CEO, adds, “Flower is on a mission to make federated AI the new default.” Read the full story here: https://lnkd.in/eg46sJTE or contact us to discuss securely deploying Flower via Rhino FCP at [email protected]! #FederatedLearning #AI #DataSecurity #Innovation
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Missed our recent NIH-focused webinar "Accelerating Secure Cross-Site Data Collaboration with Federated Computing"? Not to worry - watch the recording here: https://lnkd.in/eWt2fGrc Reach out to us to learn more about taking advantage of the NIH STRIDES Marketplace at [email protected]. Thanks to our partners at Carahsoft and Google Cloud for hosting us! Britney Tobin Kelly McGilloway Harjeet Khalsa Nicolas Tanteri Stacey EV Wood Jackson Patrice Walters Justin Kerr Colin Maxey Joan Kallogjeri Bill Fitzgerald
Working at National Institutes of Health or an NIH-affiliate institution and interested in AI / ML, federated learning, multi-site consortia, data management, quality & safety measure development, public health surveillance, etc.? Join Rhino Federated Computing for a webinar hosted by our partners at Carahsoft and Google Cloud for our upcoming webinar "Accelerating Secure Cross-Site Data Collaboration with Federated Computing". ?? Date: Wednesday, February 19, 2025 ? Time: 1:00 PM ET | 10:00 AM PT ?? Location: Online ?? Register here: https://lnkd.in/e4mpfxKC Cross-site data collaboration is evolving, and traditional approaches like data centralization often fall short. Discover how Rhino Federated Computing is transforming this landscape with federated learning, edge computing, and generative AI to enable secure, efficient collaboration without transferring sensitive data. ?? Why Attend? Our expert speakers will explore: ? Cross-institution federated learning ? Responsible AI development ? Proactive surveillance ? Quality & safety measure development ? Compliance with the NIH Data Management Mandate ???? Meet the Experts: Ittai Dayan , Co-founder & CEO, Rhino Federated Computing Chris Laws, COO, Rhino Federated Computing Adrish S., Head of Customer Solutions, Rhino Federated Computing ?? Bonus: Attendees earn 1 Continuing Professional Education (CPE) credit. Don't miss this chance to learn how federated computing is redefining data collaboration across industries. #Webinar #DataCollaboration #FederatedComputing #EdgeComputing #DataPrivacy #FederatedLearning #AI #HealthcareInnovation #NIH #NIHSTRIDES #Carahsoft #GoogleCloud