Source code for nvflare.app_common.aggregators.assembler

# Copyright (c) 2023, NVIDIA CORPORATION.  All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from abc import ABC, abstractmethod
from typing import Dict

from nvflare.apis.dxo import DXO
from nvflare.apis.fl_component import FLComponent
from nvflare.apis.fl_context import FLContext


[docs] class Assembler(FLComponent, ABC): """Assembler class for aggregation functionality This defines the functionality of assembling the collected submissions for CollectAndAssembleAggragator """ def __init__(self, data_kind: str): super().__init__() self.expected_data_kind = data_kind self.logger.debug(f"expected data kind: {self.expected_data_kind}") self._collection: dict = {}
[docs] def initialize(self, fl_ctx: FLContext): pass
@property def collection(self): return self._collection
[docs] def get_expected_data_kind(self): return self.expected_data_kind
[docs] @abstractmethod def get_model_params(self, dxo: DXO) -> dict: """Connects the assembler's _collection with CollectAndAssembleAggregator Get the collected parameters from the main aggregator Return: A dict of parameters needed for further assembling """ raise NotImplementedError
[docs] @abstractmethod def assemble(self, data: Dict[str, dict], fl_ctx: FLContext) -> DXO: """Assemble the collected submissions. This will be specified according to the specific algorithm E.g. global svm round on the collected local supporting vectors; global k-means step on the local centroids and counts Return: A DXO containing all information ready to be returned to clients """ raise NotImplementedError
[docs] def reset(self) -> None: # Reset parameters for next round, # This will be performed at the end of each aggregation round, # it can include, but not limited to, clearing the _collection self._collection = {}