Review
Open access
Aug 2026
Stability-Aware and Feasibility-Sensitive Aggregation in Federated Reinforcement Learning for Edge-IoT Systems: A Review
Examination of aggregation stability and feasibility-sensitive aggregation in FRL for Edge-IoT systems identifies a need for aggregation mechanisms that jointly account for update stability, update reliability, resource availability, and constraint feasibility.
Majid A. Aslan, A. Al-Shalabi, Ahmed S. Alhegami
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