Ximeng Liu

IEEE Network · 2014–2020

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Ximeng Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Pascal Paillier

Papers from Ximeng Liu's perspective

Ordered by how strongly the researchers Ximeng Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  2. Communication-Efficient Learning of Deep Networks from Decentralized Data
  3. XGBoost: A Scalable Tree Boosting System
  4. Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
  5. Sharemind: A Framework for Fast Privacy-Preserving Computations
  6. InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy
  7. How to share a secret
  8. SecureBoost: A Lossless Federated Learning Framework
  9. Federated Learning for Ultra-Reliable Low-Latency V2V Communications
  10. Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning

Their papers