【论文笔记】《FLchain: Federated Learning via MEC-enabled Blockchain Network》精读笔记
Information of the paper： DOI: 10.23919/APNOMS.2019.8892848 目录 1. Abstract 2. Preliminaries and Definitions 2.1 Channel 2.2 Global Model State Trie 3. System Model 4.The Operation of FLchain 4.1FLch
相关文章
- 1. 【笔记笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challen》精读笔记
- 2. 【笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challenges》精读笔记
- 3. 【论文】《Blockchained On-Device Federated Learning》精读笔记
- 4. Federated Learning with Non-IID Data 论文笔记
- 5. 论文笔记Client-Edge-Cloud Hierarchical Federated Learning
- 6. SecureBoost: A Lossless Federated Learning Framework论文笔记
- 7. 论文笔记——Fair Resource Allocation in Federated Learning
- 8. Secure Federated Transfer Learning（论文笔记）
- 9. 【论文笔记】Deep Metric Learning via Facility Location
- 10. VITAL: VIsual Tracking via Adversarial Learning论文笔记
- 更多相关文章...
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • ADO 添加记录 - ADO 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • JDK13 GA发布：5大特性解读
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 【笔记笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challen》精读笔记
- 2. 【笔记】《Federated Learning With Blockchain for Autonomous Vehicles Analysis and Design Challenges》精读笔记
- 3. 【论文】《Blockchained On-Device Federated Learning》精读笔记
- 4. Federated Learning with Non-IID Data 论文笔记
- 5. 论文笔记Client-Edge-Cloud Hierarchical Federated Learning
- 6. SecureBoost: A Lossless Federated Learning Framework论文笔记
- 7. 论文笔记——Fair Resource Allocation in Federated Learning
- 8. Secure Federated Transfer Learning（论文笔记）
- 9. 【论文笔记】Deep Metric Learning via Facility Location
- 10. VITAL: VIsual Tracking via Adversarial Learning论文笔记