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Kuan Eeik Tan

7 papers hereh-index 6719 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CR2
  • cs.CV2
  • cs.LG2
  • cs.IR1

identity via Semantic Scholar / OpenAlex

activity
20192024
most citedFederated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System

216 citations · 342 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

cs.CR2020

Achieving Security and Privacy in Federated Learning Systems: Survey, Research Challenges and Future Directions

Alberto Blanco-Justicia, Josep Domingo-Ferrer, Sergio Martínez +3

Federated learning (FL) allows a server to learn a machine learning (ML) model across multiple decentralized clients that privately store their own training data. In contrast with…

cs.LG2020★ 67 cited

Federated Multi-view Matrix Factorization for Personalized Recommendations

Adrian Flanagan, Were Oyomno, Alexander Grigorievskiy +3

We introduce the federated multi-view matrix factorization method that extends the federated learning framework to matrix factorization with multiple data sources. Our method is ab…

cs.CV2020★ 9 cited

Spectral Pyramid Graph Attention Network for Hyperspectral Image Classification

Tinghuai Wang, Guangming Wang, Kuan Eeik Tan +1

Convolutional neural networks (CNN) have made significant advances in hyperspectral image (HSI) classification. However, standard convolutional kernel neglects the intrinsic connec…

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