Interface IClientSelectionStrategy

Namespace

AiDotNet.Interfaces

Assembly

AiDotNet.dll

Selects which clients participate in a federated learning round.

public interface IClientSelectionStrategy

Remarks

For Beginners: In federated learning, the server usually does not use every client in every round. Instead, it picks a subset of clients to reduce communication cost and handle device availability.

Different selection strategies optimize for different goals:

• Uniform: simple and fair
• Weighted: prefer clients with more data
• Stratified: ensure each group is represented
• Availability-aware: prefer clients likely to be online
• Performance-aware: prefer clients that historically help training
• Cluster-based: sample across diverse client behaviors

Methods

GetStrategyName()

Gets the name of the selection strategy.

string GetStrategyName()

Returns

string

SelectClients(ClientSelectionRequest)

Selects the clients to participate for the current round.

List<int> SelectClients(ClientSelectionRequest request)

Parameters

request ClientSelectionRequest

The selection request containing available clients and selection context.

Returns

List<int>

The selected client IDs.