Skip to main content

Advances, Systems and Applications

Table 1 Notations

From: A privacy protection approach in edge-computing based on maximized dnn partition strategy with energy saving

Notation

Description

\(\textbf{M}\)

DNN model

\(\mathbf {M_{edge}}\)

edge part of DNN model

\(\mathbf {M_{cloud}}\)

cloud part of DNN model

\(L_i\)

the ith layer of model

\(w_i\)

weight of the ith layer

\(\widehat{w_i}\)

quantized weight of the ith layer

\(a_i\)

activation of the ith layer

\(\widehat{a_i}\)

quantized activation of the ith layer

\(Q_b\)

quantization function with b bit precision

\(\pi _i\)

quantization policy of the ith layer

\(\Pi\)

quantization policy of DNN model

\(B_i\)

the ith Block of model

P

privacy evaluation function

p

partition point of DNN model

E

energy measurement of quantized model

\(E_L\)

inference energy consumption of one layer

\(E_T\)

energy consumption of network transmission

\(\epsilon\)

quantization loss evaluation function

\(E_b\)

energy consumption constraint

\(\varepsilon _b\)

quantization loss constraint