Federated Learning (FL) has recently arisen as a revolutionary approach to collaborative training Machine Learning models. According to this novel framework, multiple participants …
A Qammar, A Karim, H Ning, J Ding - 2022 - academia.edu
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of …
Federated Learning (FL) has made an essential step towards enhancing the privacy of traditional model training. However, gaps in the conventional FL framework make it …
A Qammar, A Karim, H Ning, J Ding - Artificial Intelligence Review, 2023 - Springer
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of …
Q Attia, K Ahmad, N Huansheng - 2022 - dlib.phenikaa-uni.edu.vn
Federated learning (FL) is a promising framework for distributed machine learning that trains models without sharing local data while protecting privacy. FL exploits the concept of …
Y Tang, Y Zhang, T Niu, Z Li, Z Zhang… - … in Engineering & …, 2024 - cdn.techscience.cn
Federated Learning (FL), as an emergent paradigm in privacy-preserving machine learning, has garnered significant interest from scholars and engineers across both academic and …
Federated learning is a decentralized machine learning paradigm that allows multiple clients to collaborate by leveraging local computational power and the model's transmission …
E Moore, A Imteaj, S Rezapour… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Federated learning (FL) has gained widespread popularity in recent years due to the fast booming of advanced machine learning and artificial intelligence, along with emerging …
J Zhu, J Cao, D Saxena, S Jiang, H Ferradi - ACM Computing Surveys, 2023 - dl.acm.org
Federated learning is a privacy-preserving machine learning technique that trains models across multiple devices holding local data samples without exchanging them. There are …