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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

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Armin Maleki

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#machine learning Conference Jun 2026

PEARL: A Lightweight Prompt-Based Feature Interpreter Framework for Real-Time, Anonymous, and Heterogeneous Collaborative Perception

PEARL is a Prompt-Embedding framework for Anonymous and Real-time Lightweight heterogeneous CP that supports multiple CP interpreters, one of which can be optimally selected for a new-joining agent in real-time by aligning intermediate BEV features.

Armin Maleki, Hayder Radha · 0 citations

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