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Elena Ivannikova | 1 Publications | 71 Citations - Typeset.io
typeset.io
Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno +3 more. 28 Jan arXiv: Information Retrieval. › authors
Federated Collaborative Filtering for Privacy-Preserving ...
arxiv.org
von M Ammad-ud-din · · Zitiert von: 85 — Authors:Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan. von A Flanagan · · Zitiert von: 32 — Federated Multi-view Matrix Factorization for Personalized Recommendations. Authors:Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan ... › cs
59 Efficient Federated Matrix Factorization Against Inference ...
cse.hkust.edu.hk
von C DI · — [2] Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and. Adrian Flanagan › papers › famf-tist21
Federated Learning in a Medical Context: A Systematic ...
hpi.de
[2] Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan Federated. › people › Document › puma-arnrich
Personalized Recommendation Algorithm for Mobile Based ...
iopscience.iop.org
von J Jia · — Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, and Muhammad Ammad-Ud-Din. Federated Multi-view Matrix Factorization for ... › article
联邦学习怎样应用在推荐系统中？ - CSDN博客
blog.csdn.net
— 联邦协同过滤推荐算法（FCF）：Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, ... › details
An Introduction to Federated Learning and Its Analysis
digitalscholarship.unlv.edu
von M Ganapathy · — 19] Muhammad Ammad-Ud-Din, Elena Ivannikova, Suleiman A Khan, Were Oyomno, Qiang Fu,. Kuan Eeik Tan, and Adrian Flanagan. › cgi › viewcontent
Federated Collaborative Filtering for Privacy-Preserving 专知
www.zhuanzhi.ai
Muhammad Ammad-ud-din,Elena Ivannikova,Suleiman A. Khan,Were Oyomno,Qiang Fu,Kuan Eeik Tan,Adrian Flanagan. from arxiv, 12 pages, 2 figures, 2 tables, ... › paper
Federated Multi-view Matrix Factorization for Papertalk
papertalk.org
Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan E. Tan, Suleiman A. Khan, Muhammad Ammad-Ud-Din. Keywords: Abstract Paper Similar Papers. › papertalks
Federated Multi-view Matrix Factorization for Personalized ...
www.semanticscholar.org
Adrian Flanagan, Were Oyomno, +3 authors. Muhammad Ammad-ud-din; Published in ECML/PKDD 8 April 2020; Computer Science. We introduce the federated ... › ...
References on Federated Learning，联邦学习参考文献 - 知乎
zhuanlan.zhihu.com
Available: https://arxiv.org/abs v2; Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, ...
Privacy-preserving recommendation system using federated ...
digitalcommons.njit.edu
von R Basu · — [34] Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan,. Suleiman A Khan, and Muhammad Ammad-Ud-Din. Federated multi-view. › cgi › viewcontent
联邦学习怎样应用在推荐系统中？ - 今日头条
m.toutiao.com
联邦协同过滤推荐算法（FCF）：Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, Adrian Flanagan. › group
Federated Multi-view Matrix Factorization for X-MOL
www.x-mol.com
— Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, and Muhammad Ammad-Ud-Din. › paper
在推荐系统中，我还有隐私吗？联邦学习：你可以有 - 知乎专栏
zhuanlan.zhihu.com
— [2] Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan — ... 联邦协同过滤推荐算法（FCF）：Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, ... › ...
联邦学习怎样应用在推荐系统中？ - 腾讯云开发者社区
cloud.tencent.com
— ... 联邦协同过滤推荐算法（FCF）：Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, ... › article
联邦学习怎样应用在推荐系统中？|算法|隐私保护|federated - 网易
www.163.com
— 联邦协同过滤推荐算法（FCF）：Muhammad Ammad-ud-din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno, Qiang Fu, Kuan Eeik Tan, ... › article
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