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Deliverables
D1.1-Definition analysis of use cases and GDPR Compliance
D1.2-IoT meta-architecture, components, and benchmarking
D1.3-IoT meta-architecture alignment & continuous technology watch
D1.4 - Continuous technology watch and alignment
D2.1-Enhancing IoT M2M/MCM Communications
D2.2-Enhancing IoT Underlying Technology
D2.3-Enhanced IoT Underlying Technology (Final Version)
D3.1-Enhancing deep learning / reinforcement learning
D3.2-Enhancing Confidentiality Preserving Federated ML
D3.3-Enhanced IoT federated deep learning/ reinforcement ML
D3.4-ML models sharing and transfer learning implementation
D4.1-Next Generation IoT PRESS Analysis & Confidentiality Requirements
D4.2-Enhancing IoT Ambient Intelligence
D4.3-Enhancing IoT Tactile & Contextual Sensing/Actuating
D4.4-Enhanced IoT Tactile & Contextual Sensing/Actuating (Final Version)
D5.1-Enhancing IoT Cybersecurity
D5.2-Enhancing IoT Cybersecurity (Update)
D5.3-Enhancing IoT Data Privacy & Trust
D5.4-Enhancing IoT Data Privacy & Trust (Update)
D5.5-Enhanced IoT Cybersecurity & Data Privacy/Trust
D6.1-Integration guidelines & initial IoT-NGIN components integration
D6.2-Integrated IoT-NGIN platform & laboratory testing results
D7.1-Data Management Plan (DMP)
D7.2-Trial site set-up, initial results and DMP update
D7.3–ΙoT-NGIN Living Labs use cases intermediate results
D8.2-Marketing and Promotional Tools
D8.3-Marketing & promotional tools (2nd Iteration)
D8.6-Dissemination & Standardisation Activities (1st Period)
