Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks
Model partitioning is a promising technique for improving the efficiency of distributed
inference by executing partial deep neural network (DNN) models on edge servers (ESs) or …
inference by executing partial deep neural network (DNN) models on edge servers (ESs) or …
Distributed DNN Inference with Fine-grained Model Partitioning in Mobile Edge Computing Networks
H Li, X Li, Q Fan, Q He, X Wang… - IEEE Transactions on …, 2024 - computer.org
Abstract Model partitioning is a promising technique for improving the efficiency of
distributed inference by executing partial deep neural network (DNN) models on edge …
distributed inference by executing partial deep neural network (DNN) models on edge …