ELC Seminar (A03)

Time & Date Mar. 10(Thu) 2016, 13:00 – 17:00 (The starting time is tentative)
Place CELC Seminar room (Rm. 404)
Speaker Goran Zuzic (CMU)
Title Low-Congestion Shortcut without Embedding
Abstract
Distributed optimization algorithms are frequently faced with solving sub-problems on disjoint connected parts of a network. Unfortunately, the diameter of these parts can be significantly larger than the diameter of the underlying network, leading to slow running times. Recent work by [Ghaffari and Hauepler; SODA’16] showed that this phenomenon can be seen as the broad underlying reason for the pervasive $\Omega(\sqrt{n} + D)$ lower bounds that apply to most optimization problems in the CONGEST model. On the positive side this work also introduced low-congestion shortcuts as an elegant solution to circumvent this problem in certain topologies of interest. Particularly, they showed that there exists good shortcuts for any planar network and more generally any bounded genus network. This directly leads to fast $O(D \log^{O(1)} n)$ distributed optimization algorithms on such topologies, e.g., for MST and Min-Cut approximation, given that one can efficiently construct these shortcuts in a distributed manner.
Unfortunately, the shortcut construction of [Ghaffari and Hauepler; SODA’16] relies heavily on having access to a bounded genus embedding of the network. Computing such an embedding distributively however is a hard problem – even for planar networks. No distributed embedding algorithm for bounded genus graphs is in sight.
In this work we side-step this problem by defining a slightly restricted and more structured form of shortcuts and giving a novel construction algorithms which efficiently finds a shortcut which is, up to a logarithmic factor, as good as the best shortcut that exists for a given network. This new construction algorithm directly leads to an $O(D \log^{O(1)} n)$ round algorithm for solving optimization problems like MST for any topology for which good restricted shortcuts exist – without the need to compute any embedding. This includes the first efficient algorithms for bounded genus graphs or graphs with bounded pathwidth.

Note: We also arrange an open slot for discussion and sharing ideas among participants.

(Host: Tisuke Izumi)

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