当前标签：Paper Disscusion

论文笔记11 - "Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients"
Neo_DH 2022-05-28 13:10 阅读:107 评论:0 推荐:1 编辑
论文笔记(10)-"Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems"
Neo_DH 2021-12-19 23:02 阅读:187 评论:0 推荐:0 编辑
论文笔记(9)-"Personalized Federated Learning with Gaussian Processes"
Neo_DH 2021-12-14 11:16 阅读:412 评论:0 推荐:0 编辑
论文笔记(8)-"Personalized Federated Learning using Hypernetworks"
Neo_DH 2021-12-08 16:38 阅读:368 评论:0 推荐:0 编辑
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
论文笔记(7)-"Local Newton: Reducing Communication Bottleneck for Distributed Learning"
Neo_DH 2021-06-07 16:35 阅读:72 评论:0 推荐:0 编辑
论文笔记(4)—"Personalized Cross-Silo Federated Learning on Non-IID Data"
Neo_DH 2021-02-13 17:33 阅读:500 评论:0 推荐:0 编辑
论文笔记(3)—"Federated Composite Optimization"
Neo_DH 2021-01-27 20:19 阅读:296 评论:0 推荐:0 编辑
论文笔记(2)—"Adaptive Federated Optimization"
Neo_DH 2021-01-22 23:21 阅读:1231 评论:0 推荐:0 编辑
论文笔记(1)—"Clustered federated learning: Model-Agnostic distributed multi-Task optimization under privacy constraints"
Neo_DH 2021-01-15 22:00 阅读:1245 评论:0 推荐:0 编辑
2020年末(1)
Neo_DH 2020-12-26 23:36 阅读:129 评论:0 推荐:0 编辑
对拜占庭攻击鲁棒的异分布数据分布学习的梯度更新方法RSA
Neo_DH 2020-09-14 17:25 阅读:669 评论:0 推荐:2 编辑
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