29 citations · 66 across the 10 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 2 cited
When MiniBatch SGD Meets SplitFed Learning:Convergence Analysis and Performance Evaluation
Chao Huang, Geng Tian, Ming Tang
Federated learning (FL) enables collaborative model training across distributed clients (e.g., edge devices) without sharing raw data. Yet, FL can be computationally expensive as t…
cs.CR2023★ 6 cited
EavesDroid: Eavesdropping User Behaviors via OS Side-Channels on Smartphones
Quancheng Wang, Ming Tang, Jianming Fu
As the Internet of Things (IoT) continues to evolve, smartphones have become essential components of IoT systems. However, with the increasing amount of personal information stored…
cs.CV2023★ 1 cited
Deep Learning for Human Parsing: A Survey
Xiaomei Zhang, Xiangyu Zhu, Ming Tang +1
Human parsing is a key topic in image processing with many applications, such as surveillance analysis, human-robot interaction, person search, and clothing category classification…