Lifeng Hua

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 Lifeng Hua trusts

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

  1. H. Brendan McMahan (in Artificial Intelligence)

Papers from Lifeng Hua's perspective

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

Their papers