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Figure 1: the FedAvg algorithm. The aggregator distributes the current global model to clients, the clients perform several iterations of training, each on their own local data, and then the aggregator averages the resulting model updates to form the next

Figure 1: the FedAvg algorithm. The aggregator distributes the current global model to clients, the clients perform several iterations of training, each on their own local data, and then the aggregator averages the resulting model updates to form the next version of the global model. The process repeats until the model reaches the desired performance.

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