2 citations · 5 across the 4 of their papers we have counts for
4 papers
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation
Qian Chen, Zilong Wang, Jiawei Chen +2
Federated learning (FL), an attractive and promising distributed machine learning paradigm, has sparked extensive interest in exploiting tremendous data stored on ubiquitous mobile…
CFL: Cluster Federated Learning in Large-scale Peer-to-Peer Networks
Qian Chen, Zilong Wang, Yilin Zhou +3
Federated learning (FL) has sparked extensive interest in exploiting the private data on clients' local devices. However, the parameter server setting of FL not only has high bandw…
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Qian Chen, Zilong Wang, Wenjing Zhang +1
The concept of Federated Learning (FL) has emerged as a convergence of machine learning, information, and communication technology. It is vital to the development of machine learni…
KEY-SSD: Access-Control Drive to Protect Files from Ransomware Attacks
Jinwoo Ahn, Donggyu Park, Chang-Gyu Lee +5
Traditional techniques to prevent damage from ransomware attacks are to detect and block attacks by monitoring the known behaviors such as frequent name changes, recurring access t…