flsim/servers/sync_dp_servers.py [85:105]:
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        self._active_user_selector = instantiate(self.cfg.active_user_selector)
        self._channel: IFLChannel = channel or IdentityChannel()

    @classmethod
    def _set_defaults_in_cfg(cls, cfg):
        if OmegaConf.is_missing(cfg.active_user_selector, "_target_"):
            cfg.active_user_selector = UniformlyRandomActiveUserSelectorConfig()
        if OmegaConf.is_missing(cfg.server_optimizer, "_target_"):
            cfg.server_optimizer = FedAvgOptimizerConfig()

    @property
    def global_model(self):
        return self._global_model

    def select_clients_for_training(
        self,
        num_total_users,
        users_per_round,
        data_provider: Optional[IFLDataProvider] = None,
        epoch: Optional[int] = None,
    ):
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flsim/servers/sync_servers.py [128:148]:
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        self._active_user_selector = instantiate(self.cfg.active_user_selector)
        self._channel: IFLChannel = channel or IdentityChannel()

    @classmethod
    def _set_defaults_in_cfg(cls, cfg):
        if OmegaConf.is_missing(cfg.active_user_selector, "_target_"):
            cfg.active_user_selector = UniformlyRandomActiveUserSelectorConfig()
        if OmegaConf.is_missing(cfg.server_optimizer, "_target_"):
            cfg.server_optimizer = FedAvgOptimizerConfig()

    @property
    def global_model(self):
        return self._global_model

    def select_clients_for_training(
        self,
        num_total_users,
        users_per_round,
        data_provider: Optional[IFLDataProvider] = None,
        epoch: Optional[int] = None,
    ):
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