src/pqc_federated_learning/aggregators/base.py
| 1 | """Aggregator strategy interface.""" |
| 2 | |
| 3 | from __future__ import annotations |
| 4 | |
| 5 | from abc import ABC, abstractmethod |
| 6 | |
| 7 | from pqc_federated_learning.update import ClientUpdate, GradientTensor |
| 8 | |
| 9 | |
| 10 | class Aggregator(ABC): |
| 11 | name: str = "" |
| 12 | |
| 13 | @abstractmethod |
| 14 | def aggregate(self, updates: list[ClientUpdate]) -> list[GradientTensor]: |
| 15 | """Produce a single aggregated tensor list from many client updates. |
| 16 | |
| 17 | Implementations MUST raise ShapeMismatchError if tensors across updates |
| 18 | have inconsistent shapes or names. |
| 19 | """ |
| 20 | |