88 citations · 183 across the 27 of their papers we have counts for
13 papers · 1 filter
Lifelong Spectral Clustering
Gan Sun, Yang Cong, Qianqian Wang +2
In the past decades, spectral clustering (SC) has become one of the most effective clustering algorithms. However, most previous studies focus on spectral clustering tasks with a f…
LPRNet: Lightweight Deep Network by Low-rank Pointwise Residual Convolution
Bin Sun, Jun Li, Ming Shao +1
Deep learning has become popular in recent years primarily due to the powerful computing device such as GPUs. However, deploying these deep models to end-user devices, smart phones…
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
In this paper, to effectively prevent information leakage, we propose a novel framework based on the concept of differential privacy (DP), in which artificial noises are added to t…
Bandwidth Slicing to Boost Federated Learning in Edge Computing
Jun Li, Xiaoman Shen, Lei Chen +1
Bandwidth slicing is introduced to support federated learning in edge computing to assure low communication delay for training traffic. Results reveal that bandwidth slicing signif…
User Association and Path Planning for UAV-Aided Mobile Edge Computing with Energy Restriction
Yuwen Qian, Feifei Wang, Jun Li +3
Mobile edge computing (MEC) provides computational services at the edge of networks by offloading tasks from user equipments (UEs). This letter employs an unmanned aerial vehicle (…
Weighted graphlets and deep neural networks for protein structure classification
Hongyu Guo, Khalique Newaz, Scott Emrich +2
As proteins with similar structures often have similar functions, analysis of protein structures can help predict protein functions and is thus important. We consider the problem o…