Zehui Xiong

Dynamic Contract Design for Federated Learning in Smart Healthcare Applications

2020 · IEEE Internet of Things Journal

Currently, the data collected by the Internet of Healthcare Things, i.e., healthcare oriented Internet of Things (IoT), still rely on cloud-based centralized data aggregation and processing. To reduce the need for transmission of data to …

Reputation-aware Hedonic Coalition Formation for Efficient Serverless Hierarchical Federated Learning

2021 · IEEE Transactions on Parallel and Distributed Systems

Amid growing concerns on data privacy, Federated Learning (FL) has emerged as a promising privacy preserving distributed machine learning paradigm. Given that the FL network is expected to be implemented at scale, several studies have …

A trustless architecture of blockchain-enabled metaverse

2022 · High-Confidence Computing

Metaverse has rekindled human beings’ desire to further break space-time barriers by fusing the virtual and real worlds. However, security and privacy threats hinder us from building a utopia. A metaverse embraces various techniques, while …

Blockchain for Decentralized Know Your Customer (KYC) and Customer Due Diligence (CDD) Pipelines in the Metaverse

2023

Transactions conducted in the Metaverse must be validated in an interoperable and decentralized manner in order to prevent money laundering risks. Some processes to ensure that transactions are legal include the Know Your Customer (KYC) …

An Enhanced Block Validation Framework With Efficient Consensus for Secure Consortium Blockchains

2023 · IEEE Transactions on Services Computing

Consortium blockchains have attracted considerable interest from academia and industry due to their low-cost installation and maintenance. However, typical consortium blockchains can be easily attacked by colluding block validators because of the limited number of …

Low Complexity Wireless Interference Identification in Antagonistic Environments Based on Multi-Task Learning

2025 · IEEE Transactions on Vehicular Technology

As the fundamental premise of anti-interference communication, wireless interference identification (WII) has garnered extensive research and yielded substantial results, especially for deep learning (DL)-enabled WII. However, existing studies are conducted typically under the closed-set assumption, …

Context-Aware Semantic Communication for the Wireless Networks

2025 · arXiv (Cornell University)

In next-generation wireless networks, supporting real-time applications such as augmented reality, autonomous driving, and immersive Metaverse services demands stringent constraints on bandwidth, latency, and reliability. Existing semantic communication (SemCom) approaches typically rely on static models, …