Yilong Yang
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 Yilong Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yilong Yang's perspective
Ordered by how strongly the researchers Yilong Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- 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