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

Federated by Design: The Art of Orchestrating Distributed AI
Tal Tiano Einat, VP R&D, Rhino Federated Computing

 

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 - 10:30 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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Moderator: Adrish Sannyasi, VP Customer Solutions, Rhino Federated Computing

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10:30 am - 10:45 am
Break

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10:45 am - 11:05 am
FedFM: Federated Fine-Mapping Across Multi-Ancestry Biobanks 
Ravi Madduri, Senior Scientist and Group Leader, Argonne National Laboratory

 

11:05 am - 11:50 am
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, Senior Research Associate, University of Cambridge

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FL Applications for Supporting Explainability & Confidence: Moving AI from Pilot to Clinical Practice 
Michael Rosenthal, Assistant Director 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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11:50 am - 12:40 pm
Federated Data Interoperability: Standardization & Harmonization
Presenters to be announced

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12:40 pm - 1:40 pm
Lunch

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1:40 pm - 2:00 pm
FL Inside ICHOM's Learning Collaboratives
Jennifer Bright, President & CEO, ICHOM

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2:00 pm - 2:20 pm
Scaling Evidence: Federated Data and Computing for Faster, Safe, Multi-Site RWE and Agentic AI
Presenters to be announced

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2:20 pm - 2:40 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

 

2:40 pm - 3:10 pm
Fine-Tuning Without the Trade-Off: Federated AI Inside Lilly TuneLab
Hao Zheng, Sr. Director, AI/ML Product, Eli Lilly

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3:10 pm - 3:25 pm
Break

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3:25 pm - 4:10 pm
Governing Pre-Competitive AI: Lessons from the FAITE Consortium
Michail Vlysidis, Principal Engineer, Technology, AbbVie
Mani Jain, Principal Data Scientist, Amgen
Moderator: Elke Nelson-Nichols, VP Life Sciences Strategy, Rhino Federated Computing

 

4:10 pm - 4:40 pm
39 Partners, One Model: Federated Learning Inside the PROBE Consortium
Mohammad Bakhtiari, Researcher, University of Hamburg 
 

4:40 pm - 5:25 pm
Federated Computing's Next Frontier: Foundation Models Meet the Genome
Mark Van Oene, COO, PacBio
Alice Walsh, CCO, Synthesize Bio
Katie Igartua, VP Translational, Tempus
Moderator: Elke Nelson-Nichols, VP Life Sciences Strategy, Rhino Federated Computing

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5:25 pm - 5:45 pm
Federated Learning: A Privacy-Preserving Approach to Data-Centric Regulatory Cooperation
Nicolas Löffler-Perez, Data Scientist, SwissMedic
 

5:45 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 Customer Solutions, Rhino Federated Computing
Kimberly Burns, Rhino Federated Computing 
Avinash Asthana, Head of Customer Engineering, North Region, Google Cloud

 

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

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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 / Oil & Gas
Monisha Malhan, Executive VP, TCG Digital

 

Agriculture
Sonali Quantius, VP R&D, Inari

 

Engine Fleets
To be announced 

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Moderator: Chris Laws, Chief Commercial Officer, Rhino Federated Computing

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Academia:

Satellite Communications and Signal Processing
Grace Kim, Research, Stanford University

 

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

 

Computer Vision for Self-Driving Vehicles
To be announced

 

Cyber Security and FinCrime
To be announced

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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
Fireside Chat: Market for Federated AI 
Gal Noyman, Partner, LionBird
Will McConnell, Partner, Qiming Venture Partners USA
Chris Laws, Chief Commercial Officer, Rhino Federated Computing​

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