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Found 6 papers, 0 papers with code
Time-bound Contextual Bio-ID Generation for Minimalist Wearables
As wearable devices become increasingly miniaturized and powerful, a new opportunity arises for instant and dynamic device-to-device collaboration and human-to-device interaction.
Enabling Cross-Camera Collaboration for Video Analytics on Distributed Smart Cameras
Overlapping cameras offer exciting opportunities to view a scene from different angles, allowing for more advanced, comprehensive and robust analysis.
Collaborative Inference via Dynamic Composition of Tiny AI Accelerators on MCUs
The advent of tiny AI accelerators opens opportunities for deep neural network deployment at the extreme edge, offering reduced latency, lower power cost, and improved privacy in on-device ML inference.
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
In this paper, we extend this line of research and present a novel technique called Collaborative Self-Supervised Learning (ColloSSL) which leverages unlabeled data collected from multiple devices worn by a user to learn high-quality features of the data.
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
We present SensiX++ - a multi-tenant runtime for adaptive model execution with integrated MLOps on edge devices, e. g., a camera, a microphone, or IoT sensors.
SensiX: A Platform for Collaborative Machine Learning on the Edge
The emergence of multiple sensory devices on or near a human body is uncovering new dynamics of extreme edge computing.
