73 citations · 143 across the 8 of their papers we have counts for
8 papers
Distributed Retrieval-Augmented Generation
Chenhao Xu, Longxiang Gao, Yuan Miao +1
As large language models (LLMs) become increasingly adopted on edge devices, Retrieval-Augmented Generation (RAG) is gaining prominence as a solution to address factual deficiencie…
HSViT: Horizontally Scalable Vision Transformer
Chenhao Xu, Chang-Tsun Li, Chee Peng Lim +1
Due to its deficiency in prior knowledge (inductive bias), Vision Transformer (ViT) requires pre-training on large-scale datasets to perform well. Moreover, the growing layers and…
Deep Learning Techniques for Video Instance Segmentation: A Survey
Chenhao Xu, Chang-Tsun Li, Yongjian Hu +2
Video instance segmentation, also known as multi-object tracking and segmentation, is an emerging computer vision research area introduced in 2019, aiming at detecting, segmenting,…
RPDP: An Efficient Data Placement based on Residual Performance for P2P Storage Systems
Fitrio Pakana, Nasrin Sohrabi, Chenhao Xu +2
Storage systems using Peer-to-Peer (P2P) architecture are an alternative to the traditional client-server systems. They offer better scalability and fault tolerance while at the sa…
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness
Qi Xiong, Nasrin Sohrabi, Hai Dong +2
Blockchain has been used in several domains. However, this technology still has major limitations that are largely related to one of its core components, namely the consensus proto…
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation
Chenhao Xu, Youyang Qu, Tom H. Luan +3
Since the traffic conditions change over time, machine learning models that predict traffic flows must be updated continuously and efficiently in smart public transportation. Feder…
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu, Youyang Qu, Yong Xiang +1
Federated learning (FL) is a kind of distributed machine learning framework, where the global model is generated on the centralized aggregation server based on the parameters of lo…
SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systems
Chenhao Xu, Jiaqi Ge, Yong Li +5
Federated learning (FL) enables collaborative training of a shared model on edge devices while maintaining data privacy. FL is effective when dealing with independent and identical…