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Anurag Sharma

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#federated learning Open access Sep 2026

MAQDRL: QuadTree-Based Multi-Agent Federated Deep Q-Learning for Collision Avoidance and Routing Optimization with MEC-Aware Communication Analysis

Experimental results demonstrate that the proposed reinforcement learning-based Multi-agent Federated Deep Q-Network model, which integrates federated learning with QuadTree spatial partitioning and indexing framework for collision detection, is a promising solution for advancing autonomous vehicle routing systems.

A. Raj, Anurag Sharma, K. Naik · Cognitive Computation · 0 citations