Communication-Efficient Learning of Deep Networks from Decentralized Data
類型 說明 論文信息 Communication-Efficient Learning of Deep Networks from Decentralized Data H.Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, Blaise Agüera y Arcas 研究的問題 移動設備的去中心化數據的高效率通信的分佈式聯合平均算
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相關文章
- 1. Communication-Efficient Learning of Deep Networks from Decentralized Data
- 2. LEARNING NOTES FROM DEEP LEARNING
- 3. Fundamentals of Deep Learning – Introduction to Recurrent Neural Networks
- 4. Inspirational Applications of Deep Learning
- 5. Exploring the teaching of deep learning in neural networks
- 6. Deep learning-based personality recognition from text posts of online social networks 閱讀筆記
- 7. Deep Learning 1: Foundations of Convolutional Neural Networks
- 8. Neural Networks and Deep Learning
- 9. Evaluation of Deep Learning Toolkits
- 10. An Overview of Multi-Task Learning in Deep Neural Networks