Leye Wang
Privacy & Security · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Privacy & Security — 5 citations into it
Whom Leye Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Leye Wang overall
Papers from Leye Wang's perspective
Ordered by how strongly the researchers Leye Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Differential Privacy
- Matrix Factorization Techniques for Recommender Systems
- Et al
- Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
- Privacy-preserving matrix factorization
- Foundations of Cryptography: Volume 1, Basic Tools
- Federated Learning: Strategies for Improving Communication Efficiency
- The MovieLens Datasets: History and Context
- Proceedings of the National Academy of Sciences
- Privacy-Preserving Deep Learning via Additively Homomorphic Encryption
Their papers
- Secure Federated Matrix Factorization (2019) — 457 citations