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Advanced multi-purpose IoT Field Gateway, Data produced in end devices are…
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Data produced in end devices are stored, processed, and acted on directly at the edges of the network, yet computation can be offloaded to more powerful cloud based instances. Avoid latencies and increased network traffic
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You are a student, your job is not to know something, it is to know hwo to learn something.
- Data Representation with deep autoencoder (AE); unsupervised DL; vision use case, 28 x 28 matrice becomes vector of size 30 containing the same information.
- Evaluation of ML models performance on edge. Depends very much onthe given model. How about MuMa model?
- Dynamic offloading execution from edge to cloud.
- Improved privacy by edge computing.
Why Edge Device: 1 Latency, 2 Bandwith, 3 Privacy