Tag: Edge computing
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EDDL: How do we train neural networks on limited edge devices – PART 2
In the last post, part1, our idea of distributed learning on edge environment was generally addressed.I introduced the reason why edge distributed learning is needed and what improvements it can achieve.In this post, I will talk about our motivation study and how our framework works.
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EDDL: How do we train neural networks on limited edge devices – PART 1
This post introduces our previous milestone in the project named “Edge Trainer”, as the paper “EDDL: A Distributed Deep Learning System for Resource-limited Edge Computing Environment.” was published. As the first part of the introductions, I focus only on the motivation and summary of our works. More details on design and implementation can be found…