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cs.LG2023
EdgeConvEns: Convolutional Ensemble Learning for Edge Intelligence
Ilkay Sikdokur, İnci M. Baytaş, Arda Yurdakul
Deep edge intelligence aims to deploy deep learning models that demand computationally expensive training in the edge network with limited computational power. Moreover, many deep…
cs.LG2023
Common Subexpression-based Compression and Multiplication of Sparse Constant Matrices
Emre Bilgili, Arda Yurdakul
In deep learning inference, model parameters are pruned and quantized to reduce the model size. Compression methods and common subexpression (CSE) elimination algorithms are applie…