Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
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Updated
Oct 8, 2026 - Python
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
A low-latency and fault-tolerant framework for Distributed and Deep Neural Networks over the Cloud-to-Things Continuum
This repository is dedicated to self-learning about early exit papers, including relevant code and documentation.
Deployment-oriented early-exit toolkit for PyTorch vision models, with per-head calibration, fair benchmarks, and staged inference.
제3회 미래 자동차산업 아이디어 공모전
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