Blackboard Mixture of Experts: A Unique Edge Architecture for Multi-Agent Neural Networks
Year: 2026
Type: article
Abstract: The paper introduces a resource-efficient edge architecture designed to bring advanced multi-agent capabilities and spatial awareness to resource-constrained microcontrollers (e.g., ARM Cortex-M, RP2040) without the heavy compute and memory overhead of traditional floating-point models.
Author: Colon, Oliverio
Language: English
Topic: IoT and Edge/Fog Computing
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7203890969
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