Federated Learning with Non-IID Data 论文笔记

时间 2020-08-08

标签 federated learning non iid data 论文笔记繁體版

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Federated Learning with Non-IID Data 论文笔记原文翻译参考：https://blog.csdn.net/GJ_007/article/details/104632718算法论文经过实验验证了，在non-IID数据中，使用FedAvg算法训练的模型会使准确率下降。.net 从图中能够看出在non-IID使用FedAvg算法训练的模型准确率有了明显的降低，可是对

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1. Federated Learning with Non-IID Data 论文笔记
2. Secure Federated Transfer Learning（论文笔记）
3. Federated Learning with Non-IID Data
4. SecureBoost: A Lossless Federated Learning Framework论文笔记
5. 论文笔记Client-Edge-Cloud Hierarchical Federated Learning
6. 论文笔记——Fair Resource Allocation in Federated Learning
7. Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data 论文阅读笔记
8. 论文笔记——Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
9. Federated Machine Learning:Concept and Applications(论文笔记)
10. 【论文笔记】《FLchain: Federated Learning via MEC-enabled Blockchain Network》精读笔记

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