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Towards Enabling Dynamic Convolution Neural Network Inference for Edge Intelligence
We further propose a library-based approach to design scalable and dynamic distributed CNN inference on the fly leveraging partial-reconfiguration techniques, which is particularly suitable for resource-constrained edge devices.
Security Analysis of Capsule Network Inference using Horizontal Collaboration
Similar to traditional CNNs, CapsNet is also vulnerable to several malicious attacks, as studied by several researchers in the literature.
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