TY - GEN
T1 - When MIS and Maximal Matching are Easy in the Congested Clique
AU - Censor-Hillel, Keren
AU - Even, Tomer
AU - Flin, Maxime
AU - Halldórsson, Magnús M.
N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Two of the most fundamental distributed symmetry-breaking problems are that of finding a maximal independent set (MIS) and a maximal matching (MM) in a graph. It is a major open question whether these problems can be solved in constant rounds of the all-to-all communication model of Congested Clique, with O(loglogΔ) being the best upper bound known (where Δ is the maximum degree). We explore in this paper the boundary of the feasible, asking for which graphs we can solve the problems in constant rounds. We find that for several graph parameters, ranging from sparse to highly dense graphs, the problems do have a constant-round solution. In particular, we give algorithms that run in constant rounds when:the average degree is at most d(G)≤2O(logn),the neighborhood independence number is at most β(G)≤2O(logn), orthe independence number is at most α(G)≤|V(G)|/d(G)μ, for any constant μ>0. the average degree is at most d(G)≤2O(logn), the neighborhood independence number is at most β(G)≤2O(logn), or the independence number is at most α(G)≤|V(G)|/d(G)μ, for any constant μ>0. Further, we establish that these are tight bounds for the known methods, for all three parameters, suggesting that new ideas are needed for further progress.
AB - Two of the most fundamental distributed symmetry-breaking problems are that of finding a maximal independent set (MIS) and a maximal matching (MM) in a graph. It is a major open question whether these problems can be solved in constant rounds of the all-to-all communication model of Congested Clique, with O(loglogΔ) being the best upper bound known (where Δ is the maximum degree). We explore in this paper the boundary of the feasible, asking for which graphs we can solve the problems in constant rounds. We find that for several graph parameters, ranging from sparse to highly dense graphs, the problems do have a constant-round solution. In particular, we give algorithms that run in constant rounds when:the average degree is at most d(G)≤2O(logn),the neighborhood independence number is at most β(G)≤2O(logn), orthe independence number is at most α(G)≤|V(G)|/d(G)μ, for any constant μ>0. the average degree is at most d(G)≤2O(logn), the neighborhood independence number is at most β(G)≤2O(logn), or the independence number is at most α(G)≤|V(G)|/d(G)μ, for any constant μ>0. Further, we establish that these are tight bounds for the known methods, for all three parameters, suggesting that new ideas are needed for further progress.
KW - Congested clique
KW - Distributed graph algorithms
KW - Maximal independent set
KW - Maximal matching
UR - http://www.scopus.com/inward/record.url?scp=105008409739&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-91736-3_12
DO - 10.1007/978-3-031-91736-3_12
M3 - منشور من مؤتمر
SN - 9783031917356
T3 - Lecture Notes in Computer Science
SP - 194
EP - 210
BT - Structural Information and Communication Complexity - 32nd International Colloquium, SIROCCO 2025, Proceedings
A2 - Schmid, Ulrich
A2 - Kuznets, Roman
PB - Springer Science and Business Media Deutschland GmbH
T2 - 32nd International Colloquium on Structural Information and Communication Complexity, SIROCCO 2025
Y2 - 2 June 2025 through 4 June 2025
ER -