Gossip Learning of Personalized Models for Vehicle Trajectory Prediction
暂无分享,去创建一个
Marco Ajmone Marsan | Adrian Holzer | Gianluca Rizzo | Mina Aghaei Dinani | Hung Nguyen | M. Marsan | G. Rizzo | A. Holzer | Hung Nguyen
[1] Ingmar Posner,et al. Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks , 2016, AAAI.
[2] Monica Nicoli,et al. Federated Learning With Cooperating Devices: A Consensus Approach for Massive IoT Networks , 2019, IEEE Internet of Things Journal.
[3] R. Stephenson. A and V , 1962, The British journal of ophthalmology.
[4] Jingyan Jiang,et al. Decentralized Federated Learning: A Segmented Gossip Approach , 2019, ArXiv.
[5] Florent Altché,et al. An LSTM network for highway trajectory prediction , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[6] Chung Choo Chung,et al. Probabilistic vehicle trajectory prediction over occupancy grid map via recurrent neural network , 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).
[7] Mohammad Reza Nakhai,et al. An Online Mirror-Prox Optimization Approach to Proactive Resource Allocation in MEC , 2020, ICC 2020 - 2020 IEEE International Conference on Communications (ICC).
[8] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.
[9] Matthieu Cord,et al. Gossip training for deep learning , 2016, ArXiv.
[10] Carlo Luschi,et al. Revisiting Small Batch Training for Deep Neural Networks , 2018, ArXiv.
[11] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[12] W. Marsden. I and J , 2012 .
[13] Mathias Perrollaz,et al. Learning-based approach for online lane change intention prediction , 2013, 2013 IEEE Intelligent Vehicles Symposium (IV).
[14] Yoshua Bengio,et al. Practical Recommendations for Gradient-Based Training of Deep Architectures , 2012, Neural Networks: Tricks of the Trade.
[15] D. Cox. The Regression Analysis of Binary Sequences , 1958 .
[16] Vincenzo Mancuso,et al. Modeling D2D communications with LTE and WiFi , 2014, PERV.
[17] Hatem Ben Sta,et al. Quality and the efficiency of data in "Smart-Cities" , 2017, Future Gener. Comput. Syst..
[18] Nadeem Javaid,et al. Intelligence in IoT-Based 5G Networks: Opportunities and Challenges , 2018, IEEE Communications Magazine.
[19] Aurélien Géron,et al. Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems , 2017 .
[20] István Hegedüs,et al. Gossip learning with linear models on fully distributed data , 2011, Concurr. Comput. Pract. Exp..
[21] Aaas News,et al. Book Reviews , 1893, Buffalo Medical and Surgical Journal.
[22] Weihua Zhuang,et al. Interworking of DSRC and Cellular Network Technologies for V2X Communications: A Survey , 2016, IEEE Transactions on Vehicular Technology.
[23] Bin Cheng,et al. Building a Big Data Platform for Smart Cities: Experience and Lessons from Santander , 2015, 2015 IEEE International Congress on Big Data.
[24] Tim Kraska,et al. MLbase: A Distributed Machine-learning System , 2013, CIDR.
[25] Keqin Li,et al. GOI: A Novel Design for Vehicle Positioning and Trajectory Prediction Under Urban Environments , 2018, IEEE Sensors Journal.
[26] F. Borrelli,et al. Stochastic Predictive Control of Autonomous Vehicles in Uncertain Environments , 2014 .