Abstract
Let II be a protocol over the n-party broadcast channel, where in each round, a pre-specified party broadcasts a symbol to all other parties. We wish to design a scheme that takes such a protocol II as input and outputs a noise resilient protocol II' that simulates II over the noisy broadcast channel, where each received symbol is flipped with a fixed constant probability, independently. What is the minimum overhead in the number of rounds that is incurred by any such simulation scheme? A classical result by Gallager from the 80's shows that non-interactive T-round protocols, where the bit communicated in every round is independent of the communication history, can be converted to noise resilient ones with only an O}(log log T) multiplicative overhead in the number of rounds. Can the same be proved for any protocol? Or, are there protocols whose simulation requires an Ω(log T) overhead (which always suffices)? We answer both the above questions in the negative: We give a simulation scheme with an tildeO(√{ log T}) overhead for every protocol and channel alphabet. We also prove an (almost) matching lower bound of Ω(√{ log T}) on the overhead required to simulate the pointer chasing protocol with T = n and polynomial alphabet.
Original language | English |
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Title of host publication | Proceedings - 2021 IEEE 62nd Annual Symposium on Foundations of Computer Science, FOCS 2021 |
Publisher | Institute of Electrical and Electronics Engineers |
Pages | 634-645 |
Number of pages | 12 |
ISBN (Electronic) | 9781665420556 |
DOIs | |
State | Published - 4 Mar 2021 |
Event | 62nd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2021 - Virtual, Online, United States Duration: 7 Feb 2022 → 10 Feb 2022 |
Conference
Conference | 62nd IEEE Annual Symposium on Foundations of Computer Science, FOCS 2021 |
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Country/Territory | United States |
City | Virtual, Online |
Period | 7/02/22 → 10/02/22 |
Keywords
- Computer science
- Protocols
- Computational modeling
- History
- Noise measurement
- broadcast channels
- computational complexity
- probability
- protocols
- polynomials
ASJC Scopus subject areas
- General Computer Science