Federated Generative Adversarial Learning
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[1] Soumith Chintala,et al. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks , 2015, ICLR.
[2] Jun Zhao,et al. Mobile Edge Computing, Blockchain and Reputation-based Crowdsourcing IoT Federated Learning: A Secure, Decentralized and Privacy-preserving System , 2019, ArXiv.
[3] Seong-Lyun Kim,et al. Blockchained On-Device Federated Learning , 2018, IEEE Communications Letters.
[4] Antonio Torralba,et al. Generating Videos with Scene Dynamics , 2016, NIPS.
[5] Hubert Eichner,et al. Federated Learning for Mobile Keyboard Prediction , 2018, ArXiv.
[6] Tianqi Chen,et al. Empirical Evaluation of Rectified Activations in Convolutional Network , 2015, ArXiv.
[7] Junqing Yu,et al. Adversarial Style Mining for One-Shot Unsupervised Domain Adaptation , 2020, NeurIPS.
[8] Shuicheng Yan,et al. Very Long Natural Scenery Image Prediction by Outpainting , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[9] Mauro Conti,et al. A Survey on Homomorphic Encryption Schemes , 2017, ACM Comput. Surv..
[10] Mingwu Ren,et al. Unsupervised Eyeglasses Removal in the Wild , 2020, IEEE transactions on cybernetics.
[11] Sergey Ioffe,et al. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift , 2015, ICML.
[12] Yasaman Khazaeni,et al. Federated Learning with Matched Averaging , 2020, ICLR.
[13] Xiang Li,et al. On the Convergence of FedAvg on Non-IID Data , 2019, ICLR.
[14] Yann LeCun,et al. Deep learning with Elastic Averaging SGD , 2014, NIPS.
[15] Timo Aila,et al. A Style-Based Generator Architecture for Generative Adversarial Networks , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[17] Shiguang Shan,et al. AttGAN: Facial Attribute Editing by Only Changing What You Want , 2017, IEEE Transactions on Image Processing.
[18] Martin J. Wainwright,et al. Communication-efficient algorithms for statistical optimization , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).
[19] Junqing Yu,et al. Significance-Aware Information Bottleneck for Domain Adaptive Semantic Segmentation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[20] Simon Osindero,et al. Conditional Generative Adversarial Nets , 2014, ArXiv.
[21] Blaise Agüera y Arcas,et al. Communication-Efficient Learning of Deep Networks from Decentralized Data , 2016, AISTATS.
[22] Léon Bottou,et al. Wasserstein GAN , 2017, ArXiv.
[23] Dan Alistarh,et al. ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning , 2017, ICML.
[24] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[25] Yue Zhao,et al. Federated Learning with Non-IID Data , 2018, ArXiv.
[26] Hyunjung Shim,et al. Improved Training of Generative Adversarial Networks Using Representative Features , 2018, ICML.
[27] Anit Kumar Sahu,et al. Federated Learning: Challenges, Methods, and Future Directions , 2019, IEEE Signal Processing Magazine.
[28] Klaus-Robert Müller,et al. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data , 2019, IEEE Transactions on Neural Networks and Learning Systems.
[29] Eric P. Xing,et al. Unsupervised Text Style Transfer using Language Models as Discriminators , 2018, NeurIPS.
[30] Alexei A. Efros,et al. Image-to-Image Translation with Conditional Adversarial Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Samy Bengio,et al. Revisiting Distributed Synchronous SGD , 2016, ArXiv.
[32] Peter Richtárik,et al. Federated Learning: Strategies for Improving Communication Efficiency , 2016, ArXiv.
[33] Luca Antiga,et al. Automatic differentiation in PyTorch , 2017 .
[34] Giuseppe Ateniese,et al. Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning , 2017, CCS.
[35] Yang Liu,et al. Secure Federated Transfer Learning , 2018, ArXiv.
[36] Nikolaos G. Bourbakis,et al. A Survey on Wearable Sensor-Based Systems for Health Monitoring and Prognosis , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[37] Tianjian Chen,et al. A Secure Federated Transfer Learning Framework , 2020, IEEE Intelligent Systems.