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@@ -71,7 +71,7 @@ Note that FederatedScope provides a unified interface for both standalone mode a
#### Standalone mode
The standalone mode in FederatedScope means to simulate multiple participants (servers and clients) in a single device, while participants' data are isolated from each other and their models might be be shared via message passing.
The standalone mode in FederatedScope means to simulate multiple participants (servers and clients) in a single device, while participants' data are isolated from each other and their models might be shared via message passing.
Here we demonstrate how to run a standard FL task with FederatedScope, with setting `cfg.data.type = 'FEMNIST'`and `cfg.model.type = 'ConvNet2'` to run vanilla FedAvg for an image classification task. Users can customize training configurations, such as `cfg.federated.total_round_num`, `cfg.data.batch_size`, and `cfg.optimizer.lr`, in the configuration (a .yaml file), and run a standard FL task as:
