blazefl.contrib.FedAvgUplinkPackage

class blazefl.contrib.FedAvgUplinkPackage(cid: int, model_parameters: Tensor, data_size: int, metadata: dict[str, float] | None = None)

Bases: object

Data structure representing the uplink package sent from clients to the server in the Federated Averaging algorithm.

cid

Client ID.

Type:

int

model_parameters

Serialized model parameters from the client.

Type:

torch.Tensor

data_size

Number of data samples used in the client’s training.

Type:

int

metadata

Optional metadata, such as evaluation metrics.

Type:

dict | None

__init__(cid: int, model_parameters: Tensor, data_size: int, metadata: dict[str, float] | None = None) → None

Methods

__init__(cid, model_parameters, data_size[, ...])

Attributes

metadata
cid
model_parameters
data_size

cid: int

data_size: int

metadata: dict[str, float] | None = None

model_parameters: Tensor