Federated Intelligence and Digital Twins for Autonomous Systems and IoT

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The FIDTA 2026 workshop provides a dedicated forum for research at the intersection of Federated Learning (FL) and Digital Twin (DT) technologies within distributed, mobile, and resource-constrained networked environments.

As IoT infrastructures, autonomous systems, mobile robots, and cyber-physical networks become increasingly widespread, new solutions are needed to address dynamic topologies, privacy constraints, real-time decision-making, and limited computational resources without relying on centralized architectures.

FIDTA 2026 builds on the momentum of its inaugural 2025 edition at ACM MobiHoc 2025, expanding the discussion toward agentic AI, large-scale edge deployments, AI-native network architectures, and federated digital twin pipelines.