/federated-learning-incentive-backdoor

papers for incentive and backdoor research in federated learning.

Paper Collestion on Federated learning focusing on incentives and attacks

This repository summaries the related work and advances on Federated learning focusing on incentives and attacks. every paper include would have a brief discription and pdf file.

References

[IN12] Understanding Federated Learning via Client-Level Influence Measurement.

This paper proposes Fed-Influence, to measure contribution based on sub-model parameter without retrainig as well as a estimation algorithm. It works well on both convex and non-convex loss functions and does not require the nal model to be optimal.

cite unpublished TBD