9 citations · 9 across the 3 of their papers we have counts for
8 papers
Feature Reconstruction Attacks and Countermeasures of DNN training in Vertical Federated Learning
Peng Ye, Zhifeng Jiang, Wei Wang +2
Federated learning (FL) has increasingly been deployed, in its vertical form, among organizations to facilitate secure collaborative training over siloed data. In vertical FL (VFL)…
What Should Future Wireless Network Architectures Be?
Lu Yang, Ping Li, Miaomiao Dong +5
The accelerated convergence of digital and real-world lifestyles has imposed unprecedented demands on today's wireless network architectures, as it is highly desirable for such arc…
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin, Hao Lan, Baochun Li
This paper presents Gem, a model-agnostic approach for providing interpretable explanations for any GNNs on various graph learning tasks. Specifically, we formulate the problem of…
Shoestring: Graph-Based Semi-Supervised Learning with Severely Limited Labeled Data
Wanyu Lin, Zhaolin Gao, Baochun Li
Graph-based semi-supervised learning has been shown to be one of the most effective approaches for classification tasks from a wide range of domains, such as image classification a…
Low-Latency Network-Adaptive Error Control for Interactive Streaming
Salma Emara, Silas L. Fong, Baochun Li +4
We introduce a novel network-adaptive algorithm that is suitable for alleviating network packet losses for low-latency interactive communications between a source and a destination…
Optimal Multiplexed Erasure Codes for Streaming Messages with Different Decoding Delays
Silas L. Fong, Ashish Khisti, Baochun Li +3
This paper considers multiplexing two sequences of messages with two different decoding delays over a packet erasure channel. In each time slot, the source constructs a packet base…