Call for Papers
We invite researchers, scientists, technologists, industry leaders, and enterprise practitioners to submit abstracts for the Federate AI Summit exploring the next generation of decentralized intelligence.
This Call for Papers seeks innovative research, real-world case studies, technical breakthroughs, and strategic perspectives spanning federated AI.
Selected submissions will be considered for presentation at the Summit and inclusion in a post-event insights report highlighting the emerging ideas, technologies, and collaborations shaping the future of secure, privacy-native AI at scale.
Abstract Formats
We invite you to submit your abstract in the context of one of these four formats.
1 / Research Papers
Novel methods, architectures, benchmarks, or technical findings
2 / Industry Case Studies
Real-world deployments, operational lessons, measurable outcomes
3 / Executive Perspectives
Strategy, governance, transformation, policy, or market insights
4 / Posters
Early-stage research, emerging concepts, technical demonstrations, pilot programs, and exploratory ideas
Topics & Themes
We’re interested in a broad range of themes and topics. Below are some areas to help guide your abstract development and consideration.
Federated AI at Enterprise Scale
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Architectures for production-grade federated AI systems
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Moving from pilot to operational deployment
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Governance, orchestration, and lifecycle management of distributed AI
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Business transformation through decentralized intelligence
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Organizational readiness for federated AI adoption
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Measuring ROI from federated AI initiatives
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Ethical considerations for collaborative AI systems
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Industry-specific use cases, such as AI in Drug Discovery
Federated Data & Model Networks
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Secure model sharing across enterprises and institutions
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Collaborative AI ecosystems and network effects
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AI marketplaces and federated model exchanges
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Derivative model ownership and governance
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Trust frameworks for multi-party AI collaboration
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Federated foundation model deployment
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Monetization and incentive structures for shared AI networks
Federated Statistics & Analytics
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Distributed statistical analysis across institutions
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Federated analytics for healthcare, finance, life sciences, or other regulated industry (ex: use cases in clinical trials, cybersecurity, fraud)
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Privacy-preserving querying and computation
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Statistical methods for decentralized environments
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Collaborative benchmarking without data sharing
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Distributed causal inference and observational research
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Real time sharing of insights
Federated Agentic AI & Multi-Agent Systems
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Federated orchestration of autonomous AI agents
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Agent collaboration across organizational boundaries
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Privacy-preserving agent memory and reasoning
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Distributed retrieval-augmented generation (RAG)
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Federated tool use and workflow automation
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Secure coordination among enterprise AI agents
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Governance and oversight for autonomous federated systems
Submit an Abstract
Please complete the form to submit your abstract for consideration.
Deadline for submissions is September 1, 2026.
Questions?
Please email renee@federateaisummit.com with any questions.