Yue Cheng

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 33 citations into it

Whom Yue Cheng trusts

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

1. H. Brendan McMahan (in Artificial Intelligence)

Papers from Yue Cheng's perspective

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

1. Communication-Efficient Learning of Deep Networks from Decentralized Data
2. Deep Learning with Differential Privacy
3. Federated Learning: Strategies for Improving Communication Efficiency
4. Revisiting Distributed Synchronous SGD
5. Practical Secure Aggregation for Privacy-Preserving Machine Learning
6. Membership Inference Attacks Against Machine Learning Models
7. Learning Differentially Private Recurrent Language Models
8. Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge
9. TensorFlow: A system for large-scale machine learning
10. Federated Learning for Keyword Spotting

Their papers

• TiFL: A Tier-based Federated Learning System (2020) — 370 citations
• Towards Taming the Resource and Data Heterogeneity in Federated Learning (2019) — 94 citations