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Open access Aug 2026

Federated reinforcement learning for energy-aware load balancing in edge-fog-cloud IoT continuum

A federated reinforcement learning framework for adaptive load balancing in the edge-fog-cloud continuum that optimizes energy efficiency and supports diverse quality of service requirements and uses a distributed experience replay buffer to reduce trial-and-error in reinforcement learning.

Si Liu, Midhun Chakkaravarthy · 0 citations