Adaptive Compression in Federated Learning to Enhance Communication Efficiency under Dynamic Bandwidth Conditions
A communication-efficient federated learning algorithm that adaptively compresses local models based on predicted client bandwidth to improve overall efficiency under dynamic network conditions.