Yang Liu
with Gupta · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Yang Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yang Liu's perspective
Ordered by how strongly the researchers Yang Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- XGBoost: A Scalable Tree Boosting System
- Sharemind: A Framework for Fast Privacy-Preserving Computations
- InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy
- How to share a secret
- Federated Learning for Ultra-Reliable Low-Latency V2V Communications
- SecureBoost: A Lossless Federated Learning Framework
- When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning
- Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning
Their papers
- Cloud-based Federated Boosting for Mobile Crowdsensing (2020) — 14 citations