Austin Xiao

Results 10 comments of Austin Xiao

> > Miniconda3-py37_4.9.2-Linux-aarch64.sh > > works fine for me same problem, and this works fine for me. thank you

十一、伪随机序列 QQ:756938642

A communication efficient distributed learning framework for smart environments https://readpaper.com/paper/2743349999 Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training https://readpaper.com/paper/2774000609 Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under...

@MagicDevilZhang Thank you, bro. I will update them. Actually these days I am struggling in a competition and do not have enough time to update. Luckily it will end this...

2. collaborative “end-edge-cloud” architecture Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge https://readpaper.com/paper/2949701228 DeepX: a software accelerator for low-power deep learning inference on mobile devices...

3. Early Exit of Inference (EEoI) Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy https://readpaper.com/paper/2809251854 Distributed Deep Neural Networks over the Cloud, the Edge and End Devices https://readpaper.com/paper/2734927154...

Different offloading DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics https://readpaper.com/paper/2792220137 MASM: A Multiple-Algorithm Service Model for Energy-Delay Optimization in Edge Artificial Intelligence https://readpaper.com/paper/2914434280 DeepWear: Adaptive Local Offloading...

MoDNN: Local distributed mobile computing system for Deep Neural Network https://readpaper.com/paper/2612193523

MobiRNN: Efficient Recurrent Neural Network Execution on Mobile GPU https://arxiv.org/pdf/1706.00878.pdf

> 2. collaborative “end-edge-cloud” architecture > Auto-tuning Neural Network Quantization Framework for Collaborative Inference Between the Cloud and Edge > https://readpaper.com/paper/2949701228 > DeepX: a software accelerator for low-power deep learning...