Monday, October 19

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8:00 am - 8:30 am

Attendee Arrival & Breakfast

 

8:30 am - 8:45 am

Welcome & Opening Keynote
Ittai Dayan, CEO, Rhino Federated Computing

 

8:45 am - 9:05 am

Fine-Tuning Without the Trade-Off: Federated AI Inside Lilly TuneLab

Jonathan Gilbert, Sr. Director - Ecosystem Growth and Contributor Partnerships, Eli Lilly

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9:05 am - 9:25 am

Fireside Chat: Six Years of Federated Learning in Practice
Holger Roth, Principal Federated Learning Scientist, NVIDIA
Ittai Dayan, CEO, Rhino Federated Computing

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9:25 am - 10:45 am
The Infrastructure of Trust: Governance and Standards for Federated Cancer Research

 

Federated Machine Learning: A Practical Framework to Accelerate Multi-Institution Collaboration
Nevenka Dimitrova, Computational Oncology Consulting Scientist, Memorial Sloan Kettering Cancer Center

 

Constructing Privacy-Safe Multi-Modal Data Ecosystems
Chalapathy Neti, AVP AI, Fordham University
Falguni Sen, Director of the Global Healthcare Innovation Management Center, Fordham University

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Federated Fine-Tuning: Improving Outcome Predictions and Clinical Trial Matching
Ghulam Rasool, Moffitt Cancer Center 
Umit Topaloglu, Chief of the Clinical and Translational Research Informatics Branch, National Cancer Institute

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FL Cross-Organizational Legal Governance

Adina Mueller, Senior Associate General Counsel, Fred Hutch

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Moderator: Adrish Sannyasi, VP Customer Solutions, Rhino Federated Computing

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10:45 am - 11:00 am
Break

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11:00 am - 11:20 am
FedFM: Federated Fine-Mapping Across Multi-Ancestry Biobanks 
Ravi Madduri, Senior Scientist and Group Leader, Argonne National Laboratory

 

11:20 am - 12:15 pm
Research, Validation, and Deployment: FL in Radiology, Pathology, and the Path to Clinical Adoption

 

Building FL Methods For Clinical Imaging to Improve Model Training & Disease Detection
Joshua Kaggie, Assistant Research Professor, University of Cambridge

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FL Applications for Supporting Explainability & Confidence: Moving AI from Pilot to Clinical Practice 
Michael Rosenthal, Assistant Professor of Radiology, Dana-Farber

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Normalization Across Modalities: Addressing Cross-Site Variability & Data Heterogeneity in Federated AI
Sahar Almahfouz Nasser, Postdoctoral Fellow, Emory University School of Medicine

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Moderator: Adrish Sannyasi, VP Customer Solutions, Rhino Federated Computing

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12:15 pm - 12:35 pm

39 Partners, One Model: Federated Learning Inside the PROBE Consortium

Mohammad Bakhtiari, Researcher, University of Hamburg 

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12:35 pm - 12:55 pm

Federated Learning: A Privacy-Preserving Approach to Data-Centric Regulatory Cooperation

Nicolas Löffler-Perez, Data Scientist, Veanu GmbH

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12:55 pm - 1:55 pm
Lunch

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1:55 pm - 2:15 pm
FL Inside ICHOM's Learning Collaboratives
Jennifer Bright, President & CEO, ICHOM

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2:15 pm - 2:35 pm
Scaling Evidence: Federated Data and Computing for Faster, Safe, Multi-Site RWE and Agentic AI

Tami Landau, Senior Data Scientist, AstraZeneca 

David Solooki, Forward Deployed Engineer AI/ML, Rhino Federated Computing

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2:35 pm - 2:55 pm
Fireside Chat: Cloud Infrastructure's Role in the Federated AI Era 
Olivia Choudhury, Principal Partner SA, Worldwide Healthcare and Life Sciences, AWS
Kimberly Cline, Head of Cloud Partnerships, Rhino Federated Computing

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2:55 pm - 3:10 pm
Break

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3:10 pm - 3:55 pm
Governing Pre-Competitive AI: Lessons from the FAITE Consortium
Michail Vlysidis, Principal Engineer, Technology, AbbVie
Mani Jain, Principal Data Scientist, Amgen

Mehdi Boroumand, Associate Principal Data Scientist, AstraZeneca
Moderator: Ittai Dayan, CEO, Rhino Federated Computing

 

3:55 pm - 4:15 pm
Federated by Design: The Art of Orchestrating Distributed AI

Tal Tiano Einat, VP R&D, Rhino Federated Computing

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4:15 pm - 5:00 pm
Federated Computing's Next Frontier: Foundation Models Meet the Genome
Mark Van Oene, CEO, PacBio
Alice Walsh, CCO, Synthesize Bio
Moderator: Ittai Dayan, CEO, Rhino Federated Computing

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5:00 pm - 5:40 pm

Federated Data Interoperability: Standardization & Harmonization

Eyal Dviri, Data Research Team Leader, Clalit Health Services

Daniel Souroujon, AI Applications in Healthcare, Medical Data & FHIR consultant, Israel Ministry of Health

​Yoel Bar Or, Director Digital Health, Israel Ministry of Health

Moderator: Noa Silberklang, Head of EMEA, Rhino Federated Computing

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5:40 pm - 7:00 pm
Evening Reception

 

 

Tuesday, October 20

 

8:30 am - 9:00 am
Attendee Arrival & Breakfast

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9:00 am - 9:30 am
Federated Agentic AI: Creating a Unified Intelligence Layer for Building, Evaluating, and Deploying Agents 
Adrish Sannyasi, VP of Customer Solutions, Rhino Federated Computing

Kimberly Burns, Senior Product Manager, Rhino Federated Computing
Sudesh Amagowni, Senior Solutions Architect Data Analytics & AI, Google

 

9:30 am - 10:30 am
What’s Next? Trends, New Technologies, and the Future of Distributed Intelligence 

Antoni Abella Vendrell, VP of Product, Rhino Federated Computing

Tom Heys, Director of Product Marketing, Rhino Federated Computing

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10:30 am - 10:45 am

Break 

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10:45 am - 12:45 pm
Accelerating AI Innovation: Use Cases of Federated Learning Across Industries

 

Enterprise: 

Aviation / Logistics
Monisha Malhan, Executive VP, TCG Digital

 

Agriculture
Kishore Sundar, Director, Data & AI, Inari

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Moderator: Oran Barkai, Vice President of Business Development, Rhino Federated Computing

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Academia:

Computer Vision for Wildlife Monitoring and Self-Driving Vehicles

Wei-Lun Chao (Harry), Associate Professor, Boston University

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Satellite Communications and Signal Processing
Grace Kim, PhD Candidate Aeronautics and Astronautics, Stanford University

 

Industrial Manufacturing
Abdallah Abdallah, Associate Professor ECE, Western Carolina University

 

Cyber Security and FinCrime

Erik Hemberg, AI Research Scientist, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL)

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Moderator: Abigail Cember, Director of Research Partnerships, Rhino Federated Computing

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12:45 pm - 1:30 pm
Lunch

 

1:30 pm - 1:50 pm
Opportunities, Benefits, and Challenges for Collaborative Development of AI Resources for the Biomanufacturing Community
Roger Hart, Senior Fellow, NIIMBL

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1:50 pm - 2:10 pm
The AI Operating Model: A Governance Framework for Scaling Federated AI Deployment in Investment Management  
Swati Gupta, Head of Applied AI, F2 Strategy

 

2:10 pm - 2:30 pm
Combining Different Feature Selection Methods Across Heterogeneous Clients with Feature Election 
Ioannis Christofilogiannis, MSc Student, Trinity College Dublin

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2:30 pm - 3:00 pm
Market for Federated AI 
Gal Noyman, Partner, LionBird
Will McConnell, Partner, Qiming Venture Partners USA

Pallika Kanani, Research Director, Oracle
Moderator: Chris Laws, Chief Commercial Officer, Rhino Federated Computing​

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