Multi-agent collaborative inference via dnn decoupling: Intermediate feature compression and edge learning

Z Hao, G Xu, Y Luo, H Hu, J An… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Z Hao, G Xu, Y Luo, H Hu, J An, S Mao - IEEE Transactions on Mobile …, 2023 - dl.acm.org
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Z Hao, G Xu, Y Luo, H Hu, J An, S Mao - arXiv preprint arXiv:2205.11854, 2022 - arxiv.org
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Z Hao, G Xu, Y Luo, H Hu, J An, S Mao - IEEE Transactions on Mobile …, 2023 - computer.org
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

[PDF][PDF] Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Z Hao, G Xu, Y Luo, H Hu, J An, S Mao - researchgate.net
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …

Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning

Z Hao, G Xu, Y Luo, H Hu, J An, S Mao - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Recently, deploying deep neural network (DNN) models via collaborative inference, which
splits a pre-trained model into two parts and executes them on user equipment (UE) and …