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awesome-cloud-edge-ai's Introduction

Hi there, I'm Yang! ๐Ÿ‘‹

Welcome to my GitHub. I'm Yang Xiao or you can call me Austin. I research speech and audio for the Fortemedia. Before that, I graduated with a Master of Artificial Intelligence at Nanyang Technological University. My research is building an efficient, robust, data-centric machine learning system. At this moment, I mainly work in data-centric speech systems that are continual, real-time, and efficient.

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awesome-cloud-edge-ai's Issues

Real-time Video&Audio Analytic based on edge and cloud intelligence

DL for Adaptive Edge Caching(Edge-Caching for Sharing of DL Computation)

Hierarchical Edge Caching in Device-to-Device Aided Mobile Networks: Modeling, Optimization, and Design
https://readpaper.com/paper/2806446964
DeepCachNet: A Proactive Caching Framework Based on Deep Learning in Cellular Networks
https://readpaper.com/paper/2911717124
Deep learning-based edge caching for multi-cluster heterogeneous networks
https://readpaper.com/paper/2918093752
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
https://readpaper.com/paper/2833256931
Deep Learning Based Caching for Self-Driving Car in Multi-access Edge Computing
https://readpaper.com/paper/2895666646
A smart caching mechanism for mobile multimedia in information centric networking with edge computing
https://readpaper.com/paper/2885965464

Sharing of DL Computation(Edge-Caching for Sharing of DL Computation)

Cachier: Edge-Caching for Recognition Applications
https://readpaper.com/paper/2736071714
DeepMon: Mobile GPU-based Deep Learning Framework for Continuous Vision Applications
https://readpaper.com/paper/2626129225
DeepCache: Principled Cache for Mobile Deep Vision
https://readpaper.com/paper/2889402930
FoggyCache: Cross-Device Approximate Computation Reuse
https://readpaper.com/paper/2896985569
Mainstream: dynamic stem-sharing for multi-tenant video processing
https://readpaper.com/paper/2885829265

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