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researcher

Jia Liu

19 papers hereh-index 141.9k citations32 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author13
  • last author6

Across the 19 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG12
  • cs.DC3
  • cs.CR1
  • cs.GT1
  • cs.SI1
  • stat.ML1
same name
  • Jia Liu — 93 papers, h 39
  • Jia Liu — 52 papers, h 66
  • Jia Liu — 18 papers, h 46
  • Jia Liu — 17 papers, h 4
  • Jia Liu — 10 papers, h 14
  • Jia Liu — 9 papers, h 13

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedFLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

35 citations · 133 across the 19 of their papers we have counts for

collaborators
Showing 2020Show all

4 papers · 1 filter

cs.CR2020★ 35 cited

FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping

Xiaoyu Cao, Minghong Fang, Jia Liu +1

Byzantine-robust federated learning aims to enable a service provider to learn an accurate global model when a bounded number of clients are malicious. The key idea of existing Byz…

cs.LG2020★ 28 cited

Multi-Armed Bandits with Local Differential Privacy

Wenbo Ren, Xingyu Zhou, Jia Liu +1

This paper investigates the problem of regret minimization for multi-armed bandit (MAB) problems with local differential privacy (LDP) guarantee. In stochastic bandit systems, the…

cs.LG2020

The Sample Complexity of Best-k Items Selection from Pairwise Comparisons

Wenbo Ren, Jia Liu, Ness B. Shroff

This paper studies the sample complexity (aka number of comparisons) bounds for the active best-k items selection from pairwise comparisons. From a given set of items, the learne…

cs.LG2020★ 8 cited

Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree

Peizhong Ju, Xiaojun Lin, Jia Liu

Recently, there have been significant interests in studying the so-called "double-descent" of the generalization error of linear regression models under the overparameterized and o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.