Chengfei Lv

Artificial Intelligence · 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

Whom Chengfei Lv trusts

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

  1. H. Brendan McMahan (in Artificial Intelligence)

Papers from Chengfei Lv's perspective

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

  1. Deep Learning with Differential Privacy
  2. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  3. Randomized response: a survey technique for eliminating evasive answer bias.
  4. The Algorithmic Foundations of Differential Privacy
  5. Space/time trade-offs in hash coding with allowable errors
  6. What Can We Learn Privately?
  7. Practical Secure Aggregation for Privacy-Preserving Machine Learning
  8. Prio: Private, Robust, and Scalable Computation of Aggregate Statistics
  9. How to play ANY mental game
  10. Communication-Efficient Learning of Deep Networks from Decentralized Data

Their papers