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Majid A. Aslan

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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 · 0 citations

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