License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2017.31
URN: urn:nbn:de:0030-drops-80111
Go to the corresponding LIPIcs Volume Portal

Kol, Gillat ; Oshman, Rotem ; Sadeh, Dafna

Interactive Compression for Multi-Party Protocol

LIPIcs-DISC-2017-31.pdf (0.6 MB)


The field of compression studies the question of how many bits of communication are necessary to convey a given piece of data. For one-way communication between a sender and a receiver, the seminal work of Shannon and Huffman showed that the communication required is characterized by the entropy of the data; in recent years, there has been a great amount of interest in extending this line of research to interactive communication, where instead of a sender and a receiver we have two parties communication back-and-forth. In this paper we initiate the study of interactive compression for distributed multi-player protocols. We consider the classical shared blackboard model, where players take turns speaking, and each player's message is immediately seen by all the other players. We show that in the shared blackboard model with k players, one can compress protocols down to ~O(Ik), where I is the information content of the protocol and k is the number of players. We complement this result with an almost matching lower bound of ~Omega(Ik), which shows that a nearly-linear dependence on the number of players cannot be avoided.

BibTeX - Entry

  author =	{Gillat Kol and Rotem Oshman and Dafna Sadeh},
  title =	{{Interactive Compression for Multi-Party Protocol}},
  booktitle =	{31st International Symposium on Distributed Computing (DISC 2017)},
  pages =	{31:1--31:15},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-053-8},
  ISSN =	{1868-8969},
  year =	{2017},
  volume =	{91},
  editor =	{Andr{\'e}a W. Richa},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-80111},
  doi =		{10.4230/LIPIcs.DISC.2017.31},
  annote =	{Keywords: interactive compression, multi-party communication}

Keywords: interactive compression, multi-party communication
Collection: 31st International Symposium on Distributed Computing (DISC 2017)
Issue Date: 2017
Date of publication: 12.10.2017

DROPS-Home | Fulltext Search | Imprint | Privacy Published by LZI