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2020
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Optimized training and scalable implementation of Conditional Deep Neural Networks with early exits for Fog-supported IoT applications

pubblicato su: INFORMATION SCIENCES - 2020

Baccarelli E., Scardapane S., Scarpiniti M., Momenzadeh A., Uncini A.

Skewed non-Gaussian GARCH models for cryptocurrencies volatility modelling

pubblicato su: INFORMATION SCIENCES - 2020

Cerqueti Roy, Giacalone Massimilano, Mattera Raffaele

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CDNNs with early exits (1) Apply CDNNs with early exits filter
energy efficiency-vs.-accuracy-vs.-implementation complexity trade-off (1) Apply energy efficiency-vs.-accuracy-vs.-implementation complexity trade-off filter
GARCH models (1) Apply GARCH models filter
IoT Big data stream (1) Apply IoT Big data stream filter
memory footprint (1) Apply memory footprint filter
Non linear GARCH (1) Apply Non linear GARCH filter
optimized CDNN-over-Fog execution platforms (1) Apply optimized CDNN-over-Fog execution platforms filter
Skewed distributions (1) Apply Skewed distributions filter
supervised distributed training (1) Apply supervised distributed training filter
Volatility forecasting (1) Apply Volatility forecasting filter

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