Conference
Open access
Sep 2026
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...
Soumadip Mondal, Sweta Chopdar, K.Vengatesan et al.
· 2026 10th International Conf... · 0 citations