Small Cuts and Connectivity Certificates: A Fault Tolerant Approach
August 08, 2019 Β· Declared Dead Β· π International Symposium on Distributed Computing
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Merav Parter
arXiv ID
1908.03022
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.DC
Citations
30
Venue
International Symposium on Distributed Computing
Last Checked
3 months ago
Abstract
We revisit classical connectivity problems in the CONGEST model of distributed computing. By using techniques from fault tolerant network design, we show improved constructions, some of which are even "local" (i.e., with $\widetilde{O}(1)$ rounds) for problems that are closely related to hard global problems (i.e., with a lower bound of $Ξ©(Diam+\sqrt{n})$ rounds). Our main results are: (1) For $D$-diameter unweighted graphs with constant edge connectivity, we show an exact distributed deterministic computation of the minimum cut in $poly(D)$ rounds. This resolves one the open problems recently raised in Daga, Henzinger, Nanongkai and Saranurak, STOC'19. (2) For $D$-diameter unweighted graphs, we present a deterministic algorithm that computes of all edge connectivities up to constant in $poly(D)\cdot 2^{O(\sqrt{\log n\log\log n})}$ rounds. (3) Computation of sparse $Ξ»$ connectivity certificates in $\widetilde{O}(Ξ»)$ rounds. Previous constructions where known only for $Ξ»\leq 3$ and required $O(D)$ rounds. This resolves the problem raised by Dori PODC'18.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Data Structures & Algorithms
π
π
The Cartographer
R.I.P.
π»
Ghosted
Route Planning in Transportation Networks
R.I.P.
π»
Ghosted
Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration
R.I.P.
π»
Ghosted
Hierarchical Clustering: Objective Functions and Algorithms
R.I.P.
π»
Ghosted
Graph Isomorphism in Quasipolynomial Time
π
π
The Cartographer
Simulation optimization: A review of algorithms and applications
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted