An online aerial federated learning algorithm that combines model pruning, probabilistic gradient quantization, and trajectory planning reaches similar simulated accuracy to costly baselines with lower resource use.
UA V-enabled intelligent transportation systems for the smart city: Applications and challenges,
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Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles
An online aerial federated learning algorithm that combines model pruning, probabilistic gradient quantization, and trajectory planning reaches similar simulated accuracy to costly baselines with lower resource use.