1k citations · 4.4k across the 165 of their papers we have counts for
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Federated Attention: A Distributed Paradigm for Collaborative LLM Inference over Edge Networks
Xiumei Deng, Zehui Xiong, Binbin Chen +3
Large language models (LLMs) are proliferating rapidly at the edge, delivering intelligent capabilities across diverse application scenarios. However, their practical deployment in…
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning
Zhilin Wang, Qin Hu, Minghui Xu +1
Cloud-edge-device hierarchical federated learning (HFL) has been recently proposed to achieve communication-efficient and privacy-preserving distributed learning. However, there ex…
Exploring Collaborative Distributed Diffusion-Based AI-Generated Content (AIGC) in Wireless Networks
Hongyang Du, Ruichen Zhang, Dusit Niyato +6
Driven by advances in generative artificial intelligence (AI) techniques and algorithms, the widespread adoption of AI-generated content (AIGC) has emerged, allowing for the genera…
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
Zhilin Wang, Qin Hu, Zehui Xiong
With the development of mobile edge computing (MEC) and blockchain-based federated learning (BCFL), a number of studies suggest deploying BCFL on edge servers. In this case, resour…
A Contract Theory based Incentive Mechanism for Federated Learning
Mengmeng Tian, Yuxin Chen, Yuan Liu +3
Federated learning (FL) serves as a data privacy-preserved machine learning paradigm, and realizes the collaborative model trained by distributed clients. To accomplish an FL task,…
Collaborative Coded Computation Offloading: An All-pay Auction Approach
Jer Shyuan Ng, Wei Yang Bryan Lim, Sahil Garg +4
As the amount of data collected for crowdsensing applications increases rapidly due to improved sensing capabilities and the increasing number of Internet of Things (IoT) devices,…
A Survey of Coded Distributed Computing
Jer Shyuan Ng, Wei Yang Bryan Lim, Nguyen Cong Luong +5
Distributed computing has become a common approach for large-scale computation of tasks due to benefits such as high reliability, scalability, computation speed, and costeffectiven…
Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities
Yang Zhang, Zehui Xiong, Dusit Niyato +2
Internet of Things (IoT) technology is a fundamental infrastructure for information transmission and integration in smart city implementations to achieve effective fine-grained cit…
When Mobile Blockchain Meets Edge Computing
Zehui Xiong, Yang Zhang, Dusit Niyato +2
Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been…