K. Bharath

Multi-Agent Explainable Federated Learning for Adaptive Resource Optimization in Intelligent Edge Computing Environments

MAEFL is proposed, a Multi-Agent Explainable Federated Learning framework that couples a federated demand-prediction surrogate with per-node multi-agent Q-learning policies and a permutation-importance explainability layer, enabling privacy-preserving, adaptive, and interpretable resource orchestration across heterogen...