Abstract
Multiparty interactive coding allows a network of n parties to perform distributed computations when the communication channels suffer from noise. Previous results (Rajagopalan and Schulman, STOC '94) obtained a multiparty interactive coding protocol, resilient to random noise, with a blowup of O(log(δ + 1)) for networks whose topology has a maximal degree δ. Vitally, the communication model in their work forces all the parties to send one message at every round of the protocol, even if they have nothing to send. We re-examine the question of multiparty interactive coding, lifting the requirement that forces all the parties to communicate at each and every round. We use the recently developed information-Theoretic machinery of Braverman et al. (STOC '16) to show that if the network's topology is a cycle, then there is a specific "cycle task" for which any coding scheme has a communication blowup of (log n). This is quite surprising since the cycle has a maximal degree of δ = 2, implying a coding with a constant blowup when all parties are forced to speak at all rounds. We complement our lower bound with a matching coding scheme for the "cycle task" that has a communication blowup of δ (log n). This makes our lower bound for the cycle task tight.
Original language | English |
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Title of host publication | 8th Innovations in Theoretical Computer Science Conference, ITCS 2017 |
Editors | Christos H. Papadimitriou |
Publisher | Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing |
ISBN (Electronic) | 9783959770293 |
DOIs | |
State | Published - 1 Nov 2017 |
Event | 8th Innovations in Theoretical Computer Science Conference, ITCS 2017 - Berkeley, United States Duration: 9 Jan 2017 → 11 Jan 2017 |
Publication series
Name | Leibniz International Proceedings in Informatics, LIPIcs |
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Volume | 67 |
ISSN (Print) | 1868-8969 |
Conference
Conference | 8th Innovations in Theoretical Computer Science Conference, ITCS 2017 |
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Country/Territory | United States |
City | Berkeley |
Period | 9/01/17 → 11/01/17 |
Bibliographical note
Funding Information:∗ Part of this work was done while the author was at Princeton University. Supported in part by NSF grant CCF-1149888. 1 The rate of a coding scheme is the ratio between the communication of a protocol that performs over a noiseless network, to the communication of the coding scheme for the same task, over the noisy network.
Funding
∗ Part of this work was done while the author was at Princeton University. Supported in part by NSF grant CCF-1149888. 1 The rate of a coding scheme is the ratio between the communication of a protocol that performs over a noiseless network, to the communication of the coding scheme for the same task, over the noisy network.
Funders | Funder number |
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National Science Foundation | CCF-1149888 |
Keywords
- Coding
- Communication Complexity
- Interactive Communication
- Stochastic Noise