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July 6, 2026Open Access

Distributed Stochastic Graph Algorithms

Keren Censor-Hillel Aditi Dudeja George Giakkoupis

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Key Points

The aim is to develop algorithms that efficiently handle distributed computations using stochastic methods on graphs.
Developed graph algorithms utilizing stochastic processes.
Analyzed the convergence of algorithms through mathematical frameworks.
Evaluated communication complexity in distributed environments.
Algorithms demonstrated significant improvements in convergence speed compared to traditional methods.
Reduced communication costs in distributed systems by optimizing information flow.
Achieved efficiency in processing large-scale graph data sets.

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Implication

Distributed algorithms leverage stochastic processes on graphs for efficient computation, suggesting new approaches in networked systems.

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Cite This Study

Censor-Hillel et al. (2026) studied this question.

synapsesocial.com/papers/6a153b00b5d9c58d83e8d3c9 https://doi.org/10.1145/3796701.3815931

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