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

Architectures for production-grade federated AI systems
Moving from pilot to operational deployment
Governance, orchestration, and lifecycle management of distributed AI
Business transformation through decentralized intelligence
Organizational readiness for federated AI adoption
Measuring ROI from federated AI initiatives
Ethical considerations for collaborative AI systems
Industry-specific use cases, such as AI in Drug Discovery

Federated Data & Model Networks

Secure model sharing across enterprises and institutions
Collaborative AI ecosystems and network effects
AI marketplaces and federated model exchanges
Derivative model ownership and governance
Trust frameworks for multi-party AI collaboration
Federated foundation model deployment
Monetization and incentive structures for shared AI networks

Federated Statistics & Analytics

Distributed statistical analysis across institutions
Federated analytics for healthcare, finance, life sciences, or other regulated industry (ex: use cases in clinical trials, cybersecurity, fraud)
Privacy-preserving querying and computation
Statistical methods for decentralized environments
Collaborative benchmarking without data sharing
Distributed causal inference and observational research
Real time sharing of insights

Federated Agentic AI & Multi-Agent Systems

Federated orchestration of autonomous AI agents
Agent collaboration across organizational boundaries
Privacy-preserving agent memory and reasoning
Distributed retrieval-augmented generation (RAG)
Federated tool use and workflow automation
Secure coordination among enterprise AI agents
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.