5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 5 cited
Model Extraction Attacks on Split Federated Learning
Jingtao Li, Adnan Siraj Rakin, Xing Chen +4
Federated Learning (FL) is a popular collaborative learning scheme involving multiple clients and a server. FL focuses on protecting clients' data but turns out to be highly vulner…
cs.AR2023
Accelerating Graph Analytics on a Reconfigurable Architecture with a Data-Indirect Prefetcher
Yichen Yang, Jingtao Li, Nishil Talati +5
The irregular nature of memory accesses of graph workloads makes their performance poor on modern computing platforms. On manycore reconfigurable architectures (MRAs), in particula…
cs.CV2022★ 3 cited
An Adjustable Farthest Point Sampling Method for Approximately-sorted Point Cloud Data
Jingtao Li, Jian Zhou, Yan Xiong +2
Sampling is an essential part of raw point cloud data processing such as in the popular PointNet++ scheme. Farthest Point Sampling (FPS), which iteratively samples the farthest poi…