Research, perspectives, and videos on the future of shared intelligence
Explore our peer-reviewed publications, white paper, and healthcare overview below.
The architecture and policy case for KYComm, from Nigeria’s AML/CFT deadlock to a differential-privacy budget, benchmark validation and the pilot design.
Read the white paper →The Healthcare use case deck: why clinical AI underdiagnoses underserved populations, and how federated training on TCGA-BRCA strengthens detection while patient records never leave the hospital.
View the presentation →The founding research: how detection algorithms exclude the very populations they protect, and why federated learning is the mitigation.
Read on IEEE Xplore →A transparency-first analysis of AI security through the confidentiality–integrity–availability lens, groundwork for the agentic-governance layer.
Read via DOI →In PECB Insights (Issue 51, page 96), Katherine Grillaert, Esther Y. Chung, Laura Morgan and Paul Crafer map the EU AI Act's literacy obligations: the personas behind role-specific training, the business levers that make literacy a priority, and what building and sustaining a program takes.
Read on PECB Insights →Where large language models in ICS/OT cybersecurity create a privacy paradox, and which PETs close the gap for critical-infrastructure operators.
Read on IEEE Xplore →Conversations and highlights, in short takes: the thinking, the evidence and the people behind federated learning, our partners and the use cases. More clips will be added as new recordings land.
Muazu Umaru, ECOWAS Commission, makes the case that there can be no successful financial inclusion without security.
Dr Nurudeen Zauro, Technical Adviser to the President on Economic and Financial Inclusion, on Nigeria’s open doors.
Dr Muhammad Bello Kusharki, National Defence College, introduces federated learning in plain terms.
Muazu Umaru, ECOWAS Commission, sets out four factors that shape financial inclusion outcomes.
Dr Nurudeen Zauro on what excites him about the Goose FL approach.
A short walkthrough of the KYComm approach to fraud detection.
Highlights from the Healthcare use case.
Announcements and coverage of Goose FL’s news.
Nigeria's National Information Technology Development Agency signs strategic agreements with Goose FL and Fireflies AI, anchoring the KYComm coordination layer on sovereign infrastructure in support of Nigeria's digital-economy vision.
Milwaukee startup publication mkestartup.news profiles how Goose FL trains AI models across organizations without pooling the underlying data, so insights are shared while raw records stay inside each institution.
Goose FL (Equitable Labs, Inc.) announces membership of NVIDIA Inception, NVIDIA's virtual accelerator for cutting-edge AI and data science startups, bringing hardware and software resources, technical guidance and go-to-market support for its privacy-preserving infrastructure work.
Goose FL CEO Katie Grillaert joins CultureCon for a webinar on AI literacy: how AI systems redistribute power across organizations, the risks that come with them, such as bias, misinformation and lack of transparency, and the POWER Grid, a practical framework for evaluating AI systems and asking better questions.
The chef-and-kitchens analogy, a live training simulator and a short quiz, no maths required.
Start with a 101 → FL AssessmentSix sections, about ten minutes: find out where federated learning fits your data, your obligations and your goals.
Start the assessment →As the platform matures, Goose FL will publish open-source code and reference implementations for institutions building on the trust stack. When it is available, it will live here.
Deployment guides and architecture documentation are being prepared alongside the code. Until then, the KYComm white paper and the publications above document the architecture in depth.
If the document, dataset or answer you need isn’t here yet, ask us directly, or start the conversation about building with the infrastructure.