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Libraries for using and developing Federated algorithms.
Functions
assign(...): Creates an op that assigns target from source.
build_adaptive_zeroing_mean_process(...): Builds tff.templates.MeasuredProcess for averaging with adaptive zeroing.
build_dp_aggregate_process(...): Builds a MeasuredProcess for tensorflow_privacy DPQueries.
build_dp_query(...): Makes a DPQuery to estimate vector averages with differential privacy.
build_encoded_broadcast_process(...): Builds MeasuredProcess for value_type, to be encoded by encoders.
build_encoded_mean_process(...): Builds MeasuredProcess for value_type, to be encoded by encoders.
build_encoded_sum_process(...): Builds MeasuredProcess for value_type, to be encoded by encoders.
create_variables(...): Creates a set of variables that matches the given type_spec.
federated_max(...): Aggregation to find the maximum value from the tff.CLIENTS.
federated_min(...): Aggregation to find the minimum value from the tff.CLIENTS.
federated_sample(...): Aggregation to produce uniform sample of at most max_num_samples values.
identity(...): Applies tf.identity pointwise to source.
secure_quantized_sum(...): Quantizes and sums values securely.
update_state(...): Returns a new state with new values for fields in kwargs.