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20242026
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cs.DS2026

Distributed Stochastic Graph Algorithms

Keren Censor-Hillel, Aditi Dudeja, George Giakkoupis

We study stochastic graph optimization problems in a novel distributed setting. As in the standard centralized setting, a random subgraph of a known base graph is realize…

cs.DS2026

Witness-Sensitive Detection of Induced Diamonds

Keren Censor-Hillel, Tomer Even, Virginia Vasillevska Williams +1

We provide a fast \emph{witness-sensitive} algorithm for detecting an induced diamond (a minus an edge) in an -vertex graph containing induced diamonds. Our algorithm…

cs.DS2025

Computing in a Faulty Congested Clique

Keren Censor-Hillel, Pedro Soto

We study a Faulty Congested Clique model, in which an adversary may fail nodes in the network throughout the computation. We show that any task of -bit input per node…

cs.DS2025

Distributed Subgraph Finding: Progress and Challenges

Keren Censor-Hillel

This is a survey of the exciting recent progress made in understanding the complexity of distributed subgraph finding problems. It overviews the results and techniques for assorted…

cs.DS2025

Two for One, One for All: Deterministic LDC-based Robust Computation in Congested Clique

Keren Censor-Hillel, Orr Fischer, Ran Gelles +1

We design a deterministic compiler that makes any computation in the Congested Clique model robust to a constant fraction of adversarial crash faults. In particular, we show…

cs.DS2025

Output-sensitive approximate counting via a measure-bounded hyperedge oracle, or: How asymmetry helps estimate -clique counts faster

Keren Censor-Hillel, Tomer Even, Virginia Vassilevska Williams

Dell, Lapinskas and Meeks [DLM SICOMP 2022] presented a general reduction from approximate counting to decision for a class of fine-grained problems that can be viewed as hyperedge…