mlsanityData to 7 Oct 2026

Adaptive distributed methods under communication constraints

arXiv 1804.00864 ↗First posted 3 Apr 2018math.ST stat.ML stat.THcited by 9

Not on the map. Why?

Abstract (arXiv)

We study distributed estimation methods under communication constraints in a distributed version of the nonparametric random design regression model. We derive minimax lower bounds and exhibit methods that attain those bounds. Moreover, we show that adaptive estimation is possible in this setting.

Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Apr 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 1; 2025: 2; 2026: 1.

9 papers.

  1. 2024Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraintscited by 7
  2. 2025Sequential 1-bit Mean Estimation with Near-Optimal Sample Complexitycited by 5
  3. 2026Order-Optimal Sequential 1-Bit Mean Estimation in General Tail Regimescited by 5
  4. 2021Distributed Nonparametric Function Estimation: Optimal Rate of Convergence and Cost of Adaptationcited by 4
  5. 2021Distributed Sparse Normal Means Estimation with Sublinear Communicationcited by 3
  6. 2022Optimal high-dimensional and nonparametric distributed testing under communication constraintscited by 3
  7. 2022Distributed Nonparametric Estimation under Communication Constraintscited by 2
  8. 2023Distributed Sparse Linear Regression under Communication Constraintscited by 0
  9. 2025Adaptive Resolution for Finite-Rank Gaussian Processescited by 0