我的随笔

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Cases of Decomposition and ADMM in Federated Learning
Neo_DH 2021-11-26 21:51 阅读:83 评论:0 推荐:0 编辑
Tensorflow Federated(TFF)框架整理（上）
Neo_DH 2021-11-23 02:19 阅读:1093 评论:3 推荐:2 编辑
Decomposition
Neo_DH 2021-11-14 21:56 阅读:238 评论:0 推荐:0 编辑
Operator与优化
Neo_DH 2021-11-08 03:07 阅读:212 评论:0 推荐:0 编辑
对偶与Proximal
Neo_DH 2021-11-05 22:51 阅读:146 评论:0 推荐:0 编辑
转载：Why machine learning algorithms are hard to tune and how to fix it
Neo_DH 2021-06-08 10:47 阅读:63 评论:0 推荐:0 编辑
论文笔记(7)-"Local Newton: Reducing Communication Bottleneck for Distributed Learning"
Neo_DH 2021-06-07 16:35 阅读:74 评论:0 推荐:0 编辑
论文笔记(6)-"On the Cluster-aware Supervised Learning (CluSL): Frameworks, Convergent Algorithms, and Applications"
Neo_DH 2021-05-20 18:01 阅读:71 评论:0 推荐:0 编辑
frp配置
Neo_DH 2021-05-16 18:12 阅读:235 评论:0 推荐:0 编辑
论文笔记(5)-"Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach"
Neo_DH 2021-05-11 22:48 阅读:178 评论:0 推荐:0 编辑
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