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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Arpan Mukhopadhyay

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2 papers indexed here

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Preprint Aug 2026

Scaling Laws for Majority-based Opinion Dynamics in the Presence of Stubborn Agents

In a multi-agent system, there are often stubborn followers of specific opinions or beliefs. Motivated by this observation, in this paper, we aim to understand how stubborn agents affect the distribution of opinions in a network where both stubborn and non-stubborn agents interact with each other. To do so, we assume t...

L. Meredith, Arpan Mukhopadhyay · 0 citations
Preprint Jul 2026

Load Balancing with Individually Heterogeneous Servers

This analysis identifies two key objects that distinguish the performance of different tie-breaking rules in the Halfin--Whitt regime, namely, the limiting fairness process which describes how idle servers are distributed across different service rates and the limiting routing measure which describes how arriving jobs...

Burak Buke, Arpan Mukhopadhyay, Özge Tekin · 0 citations

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