IEEE

Fairness-Aware Incentive Mechanism for Multi-Server Federated Learning in Edge-Enabled Wireless Networks With Differential Privacy

Abstract: As a distributed machine learning method, federated learning (FL) can collaboratively train a global model with multiple devices without sharing the original data, thus protecting certain ...
IEEE

DPFCIL: Differentially Private Federated Class-Incremental Learning on non-IID Data

Abstract: Federated Learning (FL), as a distributed machine learning approach, makes it possible to realize global training and knowledge sharing of models while protecting data privacy. However, ...