2021 International Workshop on
Decentralized AI and Computing on IoT
July 14, 2021 (Virtual)
Important Dates
Paper Submission Deadline
June15, 2021
Acceptance Notification
June 30, 2021
Camera Ready Submission
July 5, 2021
Early Registration
July 8, 2021
Workshop Date
July 14, 2021
Scope
The objective of 2021 IEEE International Workshop on Decentralized AI and Computing on IoT (DACI2021) is to facilitate the exchange between researchers, engineers, and practitioners in Decentralized AI, one of the most promising trends in the AI and IoT fields, brings many new practices, opportunities, and at the same time, challenges. Emerging applications span over many areas, such as assisted living, wearable computer, mobile health, disaster relief, material delivery, autonomous transportation, robotics, emergency management, block chain, and many others. DACI aims to identify advancements, challenges and new opportunities in Decentralized AI and Computing on IoT.
With the quick boosting IoT and edge devices, as well as their increasing computing capabilities, how to leverage these resources to effectively advance a variety of emerging applications is crucial. Advanced research on the distributed AI architecture, wearable computing, edge computing, mobile health, machine learning and control, energy efficiency, implementation, trustworthiness, and various applications are all enabling factors for the field. The corresponding research outcomes, findings, and questions are of significant value to advance the field. DACI2021, will provide a high-quality forum for participants from the communities, and advance the discussion from theories and algorithms, to implementations and applications, as well as promising and emerging topics.
Topics of interest include but not limited to:
Distributed AI on Pervasive Devices
Mobile Health Monitoring and AI
Edge Computing
Wearable Monitoring and Computing
Distributed Big Data Mining on IoT
AI-backed IoT Security
Fog Computing
Pervasive Health Monitoring and Machine Learning
Scalable AI Implementation on IoT
Energy-efficient IoT Computing
Decentralized Learning and Control for Robotics
Decentralized AI in Smart City IoT
Decentralized AI in Smart Health IoT
Decentralized AI in Vehicle-to-X
Decentralized AI in Block Chain
Smart Contracts
Security and Privacy in Decentralized AI
Trustworthy Decentralized AI