All-to-All Communication with Mobile Edge Adversary: Almost Linearly More Faults, For Free

Resilient computation in all-to-all-communication models has attracted tremendous attention over the years. Most of these works assume the classical faulty model which restricts the total number of corrupted edges (or vertices) by some integer fault parameter f. A recent work by [Bodwin, Haeupler and Parter, SODA 2024] introduced a stronger notion of fault-tolerance, in the context of graph sparsification, which restricts the degree of the failing edge set F, rather than its cardinality. For a subset of faulty edges F, the faulty-degree deg(F) is the largest number of faults in F incident to any given node.

Authors

Institutions

Publication Details

Published
2025-06-13
DOI
https://doi.org/10.1145/3732772.3733536
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

All-to-All Communication with Mobile Edge Adversary: Almost Linearly More Faults, For Free

Merav Parter, Orr Fischer
Distributed systems and fault tolerance
article

All-to-All Communication with Mobile Edge Adversary: Almost Linearly More Faults, For Free

Merav Parter, Orr Fischer
article en

Abstract

Resilient computation in all-to-all-communication models has attracted tremendous attention over the years. Most of these works assume the classical faulty model which restricts the total number of corrupted edges (or vertices) by some integer fault parameter f. A recent work by [Bodwin, Haeupler and Parter, SODA 2024] introduced a stronger notion of fault-tolerance, in the context of graph sparsification, which restricts the degree of the failing edge set F, rather than its cardinality. For a subset of faulty edges F, the faulty-degree deg(F) is the largest number of faults in F incident to any given node.

Bar-Ilan University (IL), Weizmann Institute of Science (IL)
European Commission, Israel Science Foundation, European Research Council
Openalex Percentile: Top 86%
Distributed systems and fault tolerance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

All-to-All Communication with Mobile Edge Adversary: Almost Linearly More Faults, For Free — Merav Parter, Orr Fischer · (2025) | TGRS Research Map | TGRS