Config

This module exposes the pre-configurations of the Payloads implementations. Each configuration contains the instance of the related payload. In this way, it is easy to make sure the CentralNode and the Node are using the same compression scheme.

Fed.Config.Configuration — Type

Configuration

Interface used by the CentralNode and the Node to work with any configuration.

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BaseConfig

Fed.Config.BaseConfig — Type

BaseConfig(
    serverurl::String,
    num_comm_rounds::Int,
    fraction_clients::Float32,
    num_total_clients::Int
)

Part of the configuration which are common to any type of configuration.

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VanillaConfig

Fed.Config.VanillaConfig — Type

VanillaConfig(base::BaseConfig) <: Configuration

Configuration for the baseline, where no compression is applied. The raw data are sent over the network. This configuration instanciates a VanillaPayloadSerde.

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QuantizedConfig

Fed.Config.QuantizedConfig — Type

QuantizedConfig{T <: Unsigned}(base::BaseConfig) <: Configuration

Configuration for compression through quantization. The quantization type needs to be speficied when the configuration is instanciated. This configuration instanciates a QuantizedPayloadSerde.

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QDiffConfig

Fed.Config.QDiffConfig — Type

QDiffConfig{T <: Unsigned}(
    base::BaseConfig,
    chunksize::Int,
    is_client::Bool
) <: Configuration

Apply the same quantization algorithm used by QuantizedConfig, but also further reduces the size of the paylaod by adding client-side "diff- deduplication", where unchanged chunks of data are not sent back to the server. This configuration instanciates a QDiffPayloadSerde.

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GDConfig

Fed.Config.GDConfig — Type

GDConfig{T <: Unsigned}(
    base::BaseConfig,
    chunksize::Int,
    fingerprint::Function,
    msbsize::T,
    store_host::String,
    store_port::Int,
    is_client::Bool
) <: Configuration

Compress the payload by using a GD Store, producing a generally deduplicated GDFile which are exchanged between the clients and the server. This configuration instanciates a GDPayloadSerde and is making use of the GD.jl library to handle the generalized deduplication logic.

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