Over-the-air federated learning: Status quo, open challenges, and future directions.

An important trend in discussions of 6G is a shifting of machine learning (ML) tasks from central cloud infrastructures to the network edge, capitalizing on the computational potential of edge devices and the flexibility of network connectivity [2] , [3] .

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