Xuyun Zhang

Large-Scale High-Utility Sequential Pattern Analytics in Internet of Things

2020 · IEEE Internet of Things Journal

The concepts of sequential pattern mining have become a growing topic in data mining, finding a home most recently in the Internet of Things (IoT) where large volumes of data are presented by the second …

Source Inference Attacks in Federated Learning

2021 · arXiv (Cornell University)

Federated learning (FL) has emerged as a promising privacy-aware paradigm that allows multiple clients to jointly train a model without sharing their private data. Recently, many studies have shown that FL is vulnerable to membership …

EdgeAuth: An intelligent token‐based collaborative authentication scheme

2023 · Software Practice and Experience

Abstract Edge computing is regarded as an extension of cloud computing that brings computing and storage resources to the network edge. For some Industrial Internet of Things (IIoT) applications such as supply‐chain supervision and collaboration, …

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models

2026 · Proceedings of the AAAI Conference on Artificial Intelligence

Large Language Models (LLMs) have revolutionized intelligent interactions, enabling mobile applications such as personal assistants on edge devices for local execution. Speculative decoding (SD) has emerged as a promising paradigm to accelerate LLM inference without …