Module: tff.learning.algorithms
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Libraries providing implementations of federated learning algorithms.
Functions
build_fed_eval(...): Builds a learning process that performs federated evaluation.
build_fed_kmeans(...): Builds a learning process for federated k-means clustering.
build_fed_recon(...): Builds the IterativeProcess for optimization using FedRecon.
build_fed_recon_eval(...): Builds a tff.Computation for evaluating a reconstruction Model.
build_fed_sgd(...): Builds a learning process that performs federated SGD.
build_mime_lite_with_optimizer_schedule(...): Builds a learning process for Mime Lite with optimizer scheduling.
build_personalization_eval_computation(...): Builds the TFF computation for evaluating personalization strategies.
build_unweighted_fed_avg(...): Builds a learning process that performs federated averaging.
build_unweighted_fed_prox(...): Builds a learning process that performs the FedProx algorithm.
build_unweighted_mime_lite(...): Builds a learning process that performs Mime Lite.
build_weighted_fed_avg(...): Builds a learning process that performs federated averaging.
build_weighted_fed_avg_with_optimizer_schedule(...): Builds a learning process for FedAvg with client optimizer scheduling.
build_weighted_fed_prox(...): Builds a learning process that performs the FedProx algorithm.
build_weighted_mime_lite(...): Builds a learning process that performs Mime Lite.
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Last updated 2024-09-20 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-09-20 UTC."],[],[],null,["# Module: tff.learning.algorithms\n\n\u003cbr /\u003e\n\n|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/federated/blob/v0.87.0 Version 2.0, January 2004 Licensed under the Apache License, Version 2.0 (the) |\n\nLibraries providing implementations of federated learning algorithms.\n\nFunctions\n---------\n\n[`build_fed_eval(...)`](../../tff/learning/algorithms/build_fed_eval): Builds a learning process that performs federated evaluation.\n\n[`build_fed_kmeans(...)`](../../tff/learning/algorithms/build_fed_kmeans): Builds a learning process for federated k-means clustering.\n\n[`build_fed_recon(...)`](../../tff/learning/algorithms/build_fed_recon): Builds the IterativeProcess for optimization using FedRecon.\n\n[`build_fed_recon_eval(...)`](../../tff/learning/algorithms/build_fed_recon_eval): Builds a [`tff.Computation`](../../tff/Computation) for evaluating a reconstruction `Model`.\n\n[`build_fed_sgd(...)`](../../tff/learning/algorithms/build_fed_sgd): Builds a learning process that performs federated SGD.\n\n[`build_mime_lite_with_optimizer_schedule(...)`](../../tff/learning/algorithms/build_mime_lite_with_optimizer_schedule): Builds a learning process for Mime Lite with optimizer scheduling.\n\n[`build_personalization_eval_computation(...)`](../../tff/learning/algorithms/build_personalization_eval_computation): Builds the TFF computation for evaluating personalization strategies.\n\n[`build_unweighted_fed_avg(...)`](../../tff/learning/algorithms/build_unweighted_fed_avg): Builds a learning process that performs federated averaging.\n\n[`build_unweighted_fed_prox(...)`](../../tff/learning/algorithms/build_unweighted_fed_prox): Builds a learning process that performs the FedProx algorithm.\n\n[`build_unweighted_mime_lite(...)`](../../tff/learning/algorithms/build_unweighted_mime_lite): Builds a learning process that performs Mime Lite.\n\n[`build_weighted_fed_avg(...)`](../../tff/learning/algorithms/build_weighted_fed_avg): Builds a learning process that performs federated averaging.\n\n[`build_weighted_fed_avg_with_optimizer_schedule(...)`](../../tff/learning/algorithms/build_weighted_fed_avg_with_optimizer_schedule): Builds a learning process for FedAvg with client optimizer scheduling.\n\n[`build_weighted_fed_prox(...)`](../../tff/learning/algorithms/build_weighted_fed_prox): Builds a learning process that performs the FedProx algorithm.\n\n[`build_weighted_mime_lite(...)`](../../tff/learning/algorithms/build_weighted_mime_lite): Builds a learning process that performs Mime Lite."]]
View source on GitHub