Communication Complexity of Cake Cutting

09/28/2017
by   Simina Branzei, et al.
0

We study classic cake-cutting problems, but in discrete models rather than using infinite-precision real values, specifically, focusing on their communication complexity. Using general discrete simulations of classical infinite-precision protocols (Robertson-Webb and moving-knife), we roughly partition the various fair-allocation problems into 3 classes: "easy" (constant number of rounds of logarithmic many bits), "medium" (poly-logarithmic total communication), and "hard". Our main technical result concerns two of the "medium" problems (perfect allocation for 2 players and equitable allocation for any number of players) which we prove are not in the "easy" class. Our main open problem is to separate the "hard" from the "medium" classes.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/11/2017

Communication Complexity of Discrete Fair Division

We initiate the study of the communication complexity of fair division w...
research
07/11/2019

Cake Cutting on Graphs: A Discrete and Bounded Proportional Protocol

The classical cake cutting problem studies how to find fair allocations ...
research
10/07/2021

Fair distributions for more participants than allocations

We study the existence of fair distributions when we have more players t...
research
09/30/2017

On the Complexity of Chore Division

We study the proportional chore division problem where a protocol wants ...
research
02/08/2023

Quantum free games

The complexity of free games with two or more classical players was esse...
research
08/27/2018

The Complexity of Student-Project-Resource Matching-Allocation Problems

In this technical note, I settle the computational complexity of nonwast...
research
09/16/2019

Surfing on an uncertain edge: Precision cutting of soft tissue using torque-based medium classification

Precision cutting of soft-tissue remains a challenging problem in roboti...

Please sign up or login with your details

Forgot password? Click here to reset