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- import numpy as np
- def client_selection(num_clients, client_selection_frac, client_selection_strategy, other_info=None):
- np.random.seed(other_info)
- if client_selection_strategy == "random":
- num_selected = max(int(client_selection_frac * num_clients), 1)
- selected_clients_set = set(np.random.choice(np.arange(num_clients), num_selected, replace=False))
- return selected_clients_set
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