EdgeDL 2020 : IEEE International Workshop on Deep Learning on Edge for Smart Health and Well-being Applications

Wearable Internet of Things (wIoT) together with deep learning is revolutionizing the smart health and wellbeing applications. Predominantly IoT devices are good at acquiring medical data and later sending it cloud. Edge-based deep learning infuse intelligence in terms of processing, analysis and inference on edge near wearables. Edge deep learning not only offload the cloud but also ensure high-throughput, low-latency solutions. With edge deep learning, the data is processed on edge leading to improved privacy and security as now the data is not transferred to cloud for inference. Resource constraints on the edge and endpoint IoT devices pose challenges in adopting deep learning solutions. Systems and algorithms deployed in health and fitness devices require research on efficient approaches for signal sensing, analysis and prediction. Recently, deep learning models are increasingly deployed on wearable and edge devices for neural prediction and inference. Modern smartwatches and smart textiles are health as well as fitness device. Deep learning on edge also allows for personalization of medical solutions that enhances the user’s experience. Increasingly more wearables in health and fitness now rely on voice-based assistants. Recently, several custom chips with medical machine learning functionalities are developed to further advance edge deep learning. We live in exciting times when wearables and deep learning are growing in parallel and together creating tremendous impact on smart health & fitness devices, systems and services.

EdgeDL 2020 : IEEE International Workshop on Deep Learning on Edge for Smart Health and Well-being Applications will take place in Bologna, Italy. It’s a 1 day event starting on Jun 22, 2020 (Monday) and will be winded up on Jun 22, 2020 (Monday).

EdgeDL 2020 falls under the following areas: DEEP LEARNING, INTERNET OF THINGS, EDGE COMPUTING, WEARABALE COMPUTING, etc. Submissions for this Workshop can be made by Apr 05, 2020. Authors can expect the result of submission by Apr 20, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Apr 30, 2020 to the official website of the Workshop.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the EdgeDL 2020

• Short Name: EdgeDL 2020
• Full Name: IEEE International Workshop on Deep Learning on Edge for Smart Health and Well-being Applications
• Timing: 09:00 AM-06:00 PM (expected)
• Fees: Check the official website of EdgeDL 2020
• Event Type: Workshop
• Website Link: https://sites.google.com/view/ieee-edgedl-2020/
• Location/Address: Bologna, Italy