activity
20162025
most citedA -Approximation for Maximum Weight Matching in the Semi-Streaming Model

13 citations · 23 across the 12 of their papers we have counts for

collaborators

21 papers

cs.DC2025★ 3 cited

Bounded Memory in Distributed Networks

Ran Ben Basat, Keren Censor-Hillel, Yi-Jun Chang +3

The recent advent of programmable switches makes distributed algorithms readily deployable in real-world datacenter networks. However, there are still gaps between theory and pract…

cs.LG2023

Mini-batch -means terminates within iterations

Gregory Schwartzman

We answer the question: "Does local progress (on batches) imply global progress (on the entire dataset) for mini-batch -means?". Specifically, we consider mini-batch -means w…

cs.DC2022

Fully Polynomial-Time Distributed Computation in Low-Treewidth Graphs

Taisuke Izumi, Naoki Kitamura, Takamasa Naruse +1

We consider global problems, i.e. problems that take at least diameter time, even when the bandwidth is not restricted. We show that all problems considered admit efficient solutio…

cs.NI2022★ 1 cited

FRANCIS: Fast Reaction Algorithms for Network Coordination In Switches

Wenchen Han, Vic Feng, Gregory Schwartzman +4

Optimizing the reaction to network events, which is critical in tasks such as clock synchronization, multicast, and routing, becomes increasingly challenging as networks grow large…

cs.LG2021

SGD Through the Lens of Kolmogorov Complexity

Gregory Schwartzman

We prove that stochastic gradient descent (SGD) finds a solution that achieves classification accuracy on the entire dataset. We do so under two main assumptions: (1. Local…

cs.DC2021

On the Complexity of Load Balancing in Dynamic Networks

Seth Gilbert, Uri Meir, Ami Paz +1

In the load balancing problem, each node in a network is assigned a load, and the goal is to equally distribute the loads among the nodes, by preforming local load exchanges. While…

cs.DC2021

Smoothed Analysis of Population Protocols

Gregory Schwartzman, Yuichi Sudo

In this work, we initiate the study of \emph{smoothed analysis} of population protocols. We consider a population protocol model where an adaptive adversary dictates the interactio…

cs.DC2020

Models of Smoothing in Dynamic Networks

Uri Meir, Ami Paz, Gregory Schwartzman

Smoothed analysis is a framework suggested for mediating gaps between worst-case and average-case complexities. In a recent work, Dinitz et al.~[Distributed Computing, 2018] sugges…

cs.DC2020

Finding Subgraphs in Highly Dynamic Networks

Keren Censor-Hillel, Victor I. Kolobov, Gregory Schwartzman

In this paper we consider the fundamental problem of finding subgraphs in highly dynamic distributed networks - networks which allow an arbitrary number of links to be inserted / d…

cs.DC2019

Improved Distributed Approximations for Maximum Independent Set

Ken-ichi Kawarabayashi, Seri Khoury, Aaron Schild +1

We present improved results for approximating maximum-weight independent set ($\MaxIS$) in the CONGEST and LOCAL models of distributed computing. Given an input graph, let and…

cs.DC2019

Optimal Distributed Covering Algorithms

Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi +1

We present a time-optimal deterministic distributed algorithm for approximating a minimum weight vertex cover in hypergraphs of rank . This problem is equivalent to the Minimum…

cs.DC2019

Fast Deterministic Algorithms for Highly-Dynamic Networks

Keren Censor-Hillel, Neta Dafni, Victor I. Kolobov +2

This paper provides an algorithmic framework for obtaining fast distributed algorithms for a highly-dynamic setting, in which *arbitrarily many* edge changes may occur in each roun…

cs.DC2018★ 1 cited

Optimal Distributed Weighted Set Cover Approximation

Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi +1

We present a time-optimal deterministic distributed algorithm for approximating a minimum weight vertex cover in hypergraphs of rank . This problem is equivalent to the Minimum…

cs.DC2018

Parameterized Distributed Algorithms

Ran Ben-Basat, Ken-ichi Kawarabayashi, Gregory Schwartzman

In this work, we initiate a thorough study of parameterized graph optimization problems in the distributed setting. In a parameterized problem, an algorithm decides whether a solut…

cs.DC2018

A Deterministic Distributed -Approximation for Weighted Vertex Cover in Rounds

Ran Ben-Basat, Guy Even, Ken-ichi Kawarabayashi +1

We present a deterministic distributed -approximation algorithm for the Minimum Weight Vertex Cover problem in the CONGEST model whose round complexity is $O(\log n \log Δ/ \log…

cs.DC2017

Adapting Local Sequential Algorithms to the Distributed Setting

Ken-ichi Kawarabayashi, Gregory Schwartzman

It is a well known fact that sequential algorithms which exhibit a strong "local" nature can be adapted to the distributed setting given a legal graph coloring. The running time of…

cs.DC2017★ 4 cited

Distributed Approximation of Maximum Independent Set and Maximum Matching

Reuven Bar-Yehuda, Keren Censor-Hillel, Mohsen Ghaffari +1

We present a simple distributed -approximation algorithm for maximum weight independent set (MaxIS) in the model which completes in $O(\texttt{MIS}(G)\cdot \l…

cs.DS2017★ 13 cited

A -Approximation for Maximum Weight Matching in the Semi-Streaming Model

Ami Paz, Gregory Schwartzman

We present a simple deterministic single-pass -approximation algorithm for the maximum weight matching problem in the semi-streaming model. This improves upon the currently…

cs.DC2016

Derandomizing Local Distributed Algorithms under Bandwidth Restrictions

Keren Censor-Hillel, Merav Parter, Gregory Schwartzman

This paper addresses the cornerstone family of \emph{local problems} in distributed computing, and investigates the curious gap between randomized and deterministic solutions under…

cs.DC2016

A Distributed -Approximation for Vertex Cover in Rounds

Reuven Bar-Yehuda, Keren Censor-Hillel, Gregory Schwartzman

We present a simple deterministic distributed -approximation algorithm for minimum weight vertex cover, which completes in rounds, where is the max…

cs.DC2016★ 1 cited

Fast Distributed Algorithms for Testing Graph Properties

Keren Censor-Hillel, Eldar Fischer, Gregory Schwartzman +1

We initiate a thorough study of \emph{distributed property testing} -- producing algorithms for the approximation problems of property testing in the CONGEST model. In particular,…