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Peter Davies

17 papers hereh-index 13429 citations32 works total

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

author position
  • sole author2
  • middle author8
  • last author7

Across the 17 of 17 papers where every author was matched, so the position is known.

fields
  • cs.DC9
  • cs.DS4
  • cs.LG2
  • math.OC2
same name
  • Peter Davies — 1 paper, h 1

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
20152023
most citedAsynchronous Decentralized SGD with Quantized and Local Updates

23 citations · 76 across the 15 of their papers we have counts for

collaborators
Showing cs.DSShow all

4 papers · 1 filter

cs.DS2023

Optimal (degree+1)-Coloring in Congested Clique

Sam Coy, Artur Czumaj, Peter Davies +1

We consider the distributed complexity of the (degree+1)-list coloring problem, in which each node u of degree d(u) is assigned a palette of d(u)+1 colors, and the goal is to…

cs.DS2021

Component Stability in Low-Space Massively Parallel Computation

Artur Czumaj, Peter Davies, Merav Parter

We study the power and limitations of component-stable algorithms in the low-space model of Massively Parallel Computation (MPC). Recently Ghaffari, Kuhn and Uitto (FOCS 2019) intr…

cs.DS2020★ 15 cited

Simple, Deterministic, Constant-Round Coloring in the Congested Clique

Artur Czumaj, Peter Davies, Merav Parter

We settle the complexity of the (Δ+1)-coloring and (Δ+1)-list coloring problems in the CONGESTED CLIQUE model by presenting a simple deterministic algorithm for both problems r…

cs.DS2019

Graph Sparsification for Derandomizing Massively Parallel Computation with Low Space

Artur Czumaj, Peter Davies, Merav Parter

The Massively Parallel Computation (MPC) model is an emerging model which distills core aspects of distributed and parallel computation. It has been developed as a tool to solve (t…

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