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Accepted Papers - ECML PKDD 2020
ecmlpkdd2020.net
Adrian Flanagan (Helsinki Research Center, Huawei Technologies, Finland), Were Oyomno (Helsinki Research Center, Huawei Technologies, Finland), ... › accepted
Machine Learning and Knowledge Discovery in Databases: ...
books.google.com
324 Federated Multi-view Matrix Factorization for Personalized Recommendations Adrian Flanagan, Were Oyomno, ...
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 Multi-view Matrix Factorization for...
arxiv.org
· Federated Multi-view Matrix Factorization for Personalized Recommendations. Authors:Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan ...
Challenges for Session-based Recommender Systems in next ...
oars-workshop.github.io
von M Harasic · — [4] Muhammad Ammad-ud din, Elena Ivannikova, Suleiman A. Khan, Were Oyomno,. Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan › marko
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
Meta Matrix Factorization for Federated Rating Predictions
staff.fnwi.uva.nl
von Y Lin · · Zitiert von: 35 — [1] Muhammad Ammad-ud din, Elena Ivannikova, Suleiman A Khan, Were Oyomno,. Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan Federated Collaborative. › pdf › lin meta
AI Day – Scientific presentations — FCAI
fcai.fi
... Adrian Flanagan (Huawei Technologies Oy); Were Oyomno (Cloud Service Competence Center of Helsinki, Huawei Technologies Oy (Finland) Co. › ai-day scientif...
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 ... › ...
Federated Reconstruction: Partially Local Federated Learning
openreview.net
von K Singhal · · Zitiert von: 25 — Model-agnostic meta-learning for fast adaptation of deep networks. arXiv preprint arXiv: (2017). [20] Adrian Flanagan, Were Oyomno, Alexander ... › pdf
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
[PDF] FedGNN: Federated Graph Neural Network for Privacy ...
researchain.net
REFERENCES [1] Muhammad Ammad, Elena Ivannikova, Suleiman A Khan, Were Oyomno, QiangFu, Kuan Eeik Tan, and Adrian Flanagan › pdf › Fedg...
java新闻推荐系统- OSCHINA - 中文开源技术交流社区
www.oschina.net
... Were Oyomno, Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. Federated collaborative filtering for privacy-preserving personalized recommendation system. › informat
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
arXiv: v1 [cs.CR] 12 Jun Unpaywall
unpaywall.org
— Elena Ivannikova, Suleiman A. Khan, Were Oyomno,. Qiang Fu, Kuan Eeik Tan, and Adrian Flanagan. Federated. › MIS
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? - 北美生活引擎
posts.careerengine.us
— 联邦多视图矩阵分解算法(FED-MVMF):Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, ... › ...
联邦学习怎样应用在推荐系统中? - 闪念基因
flashgene.com
— 联邦多视图矩阵分解算法(FED-MVMF) :Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy, Kuan Eeik Tan, Suleiman A. Khan, ... › archives
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