Incentive Schemes for Rollup Validators
August 05, 2023 Β· Declared Dead Β· π MaRBLe
"No code URL or promise found in abstract"
Evidence collected by the PWNC Scanner
Authors
Akaki Mamageishvili, Edward W. Felten
arXiv ID
2308.02880
Category
cs.GT: Game Theory
Cross-listed
cs.CR
Citations
11
Venue
MaRBLe
Last Checked
3 months ago
Abstract
We design and analyze attention games that incentivize validators to check computation results. We show that no pure strategy Nash equilibrium of the game without outside parties exists by a simple argument. We then proceed to calculate the security of the system in the mixed Nash equilibrium, as a function of the number of validators and their stake sizes. Our results provide lower and upper bounds on the optimal number of validators. More concretely, a minimal feasible number of validators minimizes the probability of failure. The framework also allows to calculate optimum stake sizes, depending on the target function. In the end, we discuss optimal design of rewards by the protocol for validators.
Community Contributions
Found the code? Know the venue? Think something is wrong? Let us know!
π Similar Papers
In the same crypt β Game Theory
R.I.P.
π»
Ghosted
R.I.P.
π»
Ghosted
A Motivational Game-Theoretic Approach for Peer-to-Peer Energy Trading in the Smart Grid
R.I.P.
π»
Ghosted
Computing Resource Allocation in Three-Tier IoT Fog Networks: a Joint Optimization Approach Combining Stackelberg Game and Matching
R.I.P.
π»
Ghosted
Fast Convergence of Regularized Learning in Games
R.I.P.
π»
Ghosted
Computation Peer Offloading for Energy-Constrained Mobile Edge Computing in Small-Cell Networks
R.I.P.
π»
Ghosted
Blockchain Mining Games
Died the same way β π» Ghosted
R.I.P.
π»
Ghosted
Federated Learning: Strategies for Improving Communication Efficiency
R.I.P.
π»
Ghosted
In-Datacenter Performance Analysis of a Tensor Processing Unit
R.I.P.
π»
Ghosted
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning
R.I.P.
π»
Ghosted