Jul 10, 2022 · In this work, we propose a framework to analyze the behavior of such rational data generators. We first show how a naive scheme leads to ...
Oct 20, 2022 · This paper analyzes the free-riding phenomenon in federated learning when rational clients may not be tempted to engage in federated learning.
People also ask
What are the three types of data sharing?
How does federated learning improve privacy?
What are the different models of federated learning?
How are models aggregated in federated learning?
This work shows how a naive scheme leads to catastrophic levels of free-riding where the benefits of data sharing are completely eroded, and introduces ...
Jul 10, 2022 · We first show how a naive scheme leads to catastrophic levels of free-riding where the benefits of data sharing are completely eroded. Then, ...
In this work, we propose a framework to analyze the behavior of such rational data generators. We first show how a naive scheme leads to catastrophic levels of ...
Moreover, an incentive mechanism based on reputation points and Shaply values is proposed to improve the sustainability of the federated learning system, which ...
Abstract: Federated learning (FL) provides a higher privacy guarantee for data sharing in a multi-party computation environment.
Duration: 24:44
Posted: Nov 21, 2022
Posted: Nov 21, 2022
Oct 20, 2023 · In a step to push FL towards realistic settings, we propose RealFM: the first federated mechanism that (1) realistically models device utility, ...
Oct 16, 2023 · This paper focuses on the incentive issue and develops an incentive mechanism for federated learning and unlearning. We first characterize the ...