## Abstract

We consider computations over networks with multiple broadcast channels that intersect at a single party. Each broadcast link suffers from random bit-flip noise that affects the receivers independently. We design interactive coding schemes that successfully perform any computation over these noisy networks and strive to reduce their communication overhead with respect to the original (noiseless) computation.A simple variant of a coding scheme by Rajagopalan and Schulman (STOC 1994) shows that any (noiseless) protocol of R rounds can be reliably simulated in O(R log n) rounds over a network with n=n_1 n_2+1 parties in which a single party is connected to n2 noisy broadcast channels, each of which connects n1 distinct parties. We design new coding schemes with improved overheads. Our approach divides the network into four regimes according to the relationship between n1 and n2. We employ a two-layer coding where the inner code protects each broadcast channel and is tailored to the specific conditions of the regime in consideration. The outer layer protects the computation in the network and is generally based on the scheme of Rajagopalan and Schulman, adapted to the case of broadcast channels. The overhead we obtain ranges from O(log log n_2) to O(log n_2 log log n_1log n_1) and beats the trivial O(log n) overhead in all four regimes.

Original language | English |
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Title of host publication | 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings |

Publisher | Institute of Electrical and Electronics Engineers Inc. |

ISBN (Electronic) | 9781665403122 |

DOIs | |

State | Published - 2021 |

Event | 2021 IEEE Information Theory Workshop, ITW 2021 - Virtual, Online, Japan Duration: 17 Oct 2021 → 21 Oct 2021 |

### Publication series

Name | 2021 IEEE Information Theory Workshop, ITW 2021 - Proceedings |
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### Conference

Conference | 2021 IEEE Information Theory Workshop, ITW 2021 |
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Country/Territory | Japan |

City | Virtual, Online |

Period | 17/10/21 → 21/10/21 |

### Bibliographical note

Funding Information:†M. Mukherjee and R. Gelles are with the Alexander Kofkin Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel. Email: {mukherm,ran.gelles}@biu.ac.il. This work was supported in part by the Israel Science Foundation (ISF) through Grant 1078/17. 1See [3, Section 1.1] for an explanation.

Publisher Copyright:

© 2021 IEEE.