Neural Network Based Models for Forecasting, Proc. ADT'95, pp.243-252, 1995. ,
Deep Reinforcement Learning, 2020. ,
Time Series Analysis and Prediction, pp.31-2017 ,
Efficient Learning Machines, 2016. ,
Multi-Step-Ahead Time Series Prediction using Multiple-Output Support Vector Regression, 2013. ,
Long term time series prediction with multi-input multi-output local learning, 2008. ,
, , 2020.
Branchynet: Fast inference via early exiting from deep neural networks, 2016 23rd ICPR, 2016. ,
, GPU Nividia Tesla T4 à coeurs Tensor pour l'inférence IA | Nividia Data Center, 2020.
, Upload and Share ML Experiments for Free, 2020.
, Upload and Share ML Experiments for Free, 2020.
Learning multiple layers of features from tiny images, 2009. ,
The Docker Book: Containerization is the new virtualization, 2014. ,
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation, 2016. ,
, , 2020.
Model compression, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pp.535-541, 2006. ,
Deep residual learning for image recognition, 2015. ,
Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge, Proc. 22nd Int. Conf. Archit. Support Program. Lang. Oper. Syst. (ASPLOS 2017, pp.615-629, 2017. ,
DeepDecision: A mobile deep learning framework for edge video analytics, Proc. IEEE INFOCOM, pp.1421-1429, 2018. ,
IONN: Incremental Offloading of Neural Network Computations from Mobile Devices to Edge Servers, Proc. the ACM Symposium on Cloud Computing, pp.401-411, 2018. ,
BranchyNet: Fast inference via early exiting from deep neural networks, Proc. the 23rd International Conference on Pattern Recognition (ICPR 2016, pp.2464-2469, 2016. ,
DeepThings: Distributed Adaptive Deep Learning Inference on Resource-Constrained IoT Edge Clusters, IEEE Trans. Comput. Aided Des. Integr. Circuits Syst, vol.37, issue.11, pp.2348-2359, 2018. ,
A survey on application of machine learning for Internet of Things, International Journal of Machine Learning and Cybernetics, 2018. ,
Convergence of Edge Computing and Deep Learning: A Comprehensive Survey, IEEE COMMUNICATIONS SURVEYS & TUTORIALS ,
Learning IoT in edge : Deep learning for the Internet of Things with edge computing, IEEE Netw, vol.32, issue.1, pp.96-101, 2018. ,
, The Statistics Portal. Internet of things (iot): number of connecteddevices worldwide from 2012 to 2020, 2020.
, Cisco Global Cloud Index: Forecast and Methodology, 2020.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network, IEEE Conference on Computer Vision and Pattern Recognition, pp.4681-4690, 2017. ,
, Mobile-Edge Computing Introductory Technical White Paper
Edge computing -what is edge computing? ,
Handwritten digit recognition with a back-propagation network, Advances in Neural Information Processing Systems, 1989. ,
Handwritten digit recognition with a back-propagation network, Advances in Neural Information Processing Systems, 1989. ,
, Google AI algorithm masters ancient game of Go, Nature News & Comment
Using neural nets to recognize handwritten digits, 2019. ,
Spécialisation Deep Learning, Coursera, 2020. ,
3D Convolutions : Understanding + Use Case, 2018. ,
Long short-term memory, Neural Comput, vol.9, issue.8, pp.1735-1780, 1997. ,
On the properties of neural machine translation: encoder-decoder approaches, CoRR, 2014. ,
Recurrent Neural Networks: An Embedded Computing Perspective" in IEEE Access, 2020. ,
A long short-term memory recurrent neural network framework for network traffic matrix prediction, 2017. ,
URL : https://hal.archives-ouvertes.fr/hal-01538471
Deep Learning Models For Aggregated Network Traffic Prediction, 2019 15th International Conference on Network and Service Management (CNSM), 2019. ,
A Network Traffic Prediction Method Based on LSTM" in ZTE, 2019. ,
A machine learning approach to tcp throughput prediction, IEEE/ACM Transactions on Networking (ToN), vol.18, issue.4, pp.1026-1039, 2010. ,
, ns-3 source code, pp.2020-2026
, OpenAI Gym documentation. https:gym.openai.com, 2020.
ns-3 meets OpenAI Gym: The Playground for Machine Learning in Networking Research, ACM International Conference on Modeling, 2019. ,
Deep reinforcement learning for online computation offloading in wireless powered mobile-edge computing networks, IEEE Trans. Mobile Comput, p.1, 2019. ,
Deep reinforcement learning-based joint task offloading and bandwidth allocation for multi-user mobile edge computing, Digital Communications and Networks, vol.5, issue.1, pp.10-17, 2019. ,
Resource allocation for edge computing in IoT networks via reinforcement learning, Proc. ICC 2019 -2019 IEEE Int. Conf. Communications (ICC), pp.1-6, 2019. ,
Reinforcement Learning: An Introduction. Second, 2018. ,
Human-level control through deep reinforcement learning, Nature, vol.518, issue.7540, p.529, 2015. ,