DSFederal Brings Production-Ready Federated Learning to AI Expo 2026
Real-world federated AI deployments advancing public health and federal mission — live at Booth #1428
"What we are bringing to AI Expo 2026 is not a roadmap — it is a working system," said
Live demos at the booth will cover use cases:
- Federated Fraud Detection — collaborative model training across distributed nodes, no raw data shared
- Federated Health Validation — surfacing generalization gaps and subgroup performance risks through federated validation
- Federated Anomaly Detection — change-point detection in distributed longitudinal data, source records stay local
The exhibit also features DeepMets®, Taiwan AI Labs' TFDA-approved AI brain tumor detection system built with federated learning across 20+ hospitals, detecting tumors as small as 2 mm in approximately one minute.
"We believe federated learning is the correct architectural choice for AI that governments can actually trust — keeping data sovereign, governance transparent, and AI performance verifiable at every step," adds Chung.
About DSFederal
DSFederal is an AI and data analytics company delivering secure, mission-focused solutions to federal agencies. We specialize in advanced analytics, artificial intelligence, and data-driven systems that support national security, operational efficiency, and improve health outcomes across the public sector.
DSFederal's federated learning platform, DSFed™ enables secure, privacy-preserving collaboration across distributed data environments, allowing agencies to leverage sensitive data without centralization.
DSFederal is ISO 9001 certified, appraised at CMMI Level 3 for Services and Development, and CMMC Level 2 certified, ensuring disciplined, secure delivery in mission-critical environments. We have supported 50+ federal clients across 300+ contracts, united by a single mission: to improve human life through secure, data-driven digital solutions.
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SOURCE DSFederal
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