66 citations · 93 across the 11 of their papers we have counts for
11 papers
Cross-region Model Training with Communication-Computation Overlapping and Delay Compensation
Ying Zhu, Yang Xu, Hongli Xu +3
Training large language models (LLMs) requires massive computational resources, often necessitating the aggregation of geographically distributed data centers (\ie, cross-region tr…
Accelerating End-Cloud Collaborative Inference via Near Bubble-free Pipeline Optimization
Luyao Gao, Jianchun Liu, Hongli Xu +3
End-cloud collaboration offers a promising strategy to enhance the Quality of Service (QoS) in DNN inference by offloading portions of the inference workload from end devices to cl…
Many Hands Make Light Work: Accelerating Edge Inference via Multi-Client Collaborative Caching
Wenyi Liang, Jianchun Liu, Hongli Xu +2
Edge inference is a technology that enables real-time data processing and analysis on clients near the data source. To ensure compliance with the Service-Level Objectives (SLOs), s…
Adaptive Configuration for Heterogeneous Participants in Decentralized Federated Learning
Yunming Liao, Yang Xu, Hongli Xu +2
Data generated at the network edge can be processed locally by leveraging the paradigm of edge computing (EC). Aided by EC, decentralized federated learning (DFL), which overcomes…
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability
Shaowei Wang, Jiachun Du, Wei Yang +5
Voting plays a central role in bringing crowd wisdom to collective decision making, meanwhile data privacy has been a common ethical/legal issue in eliciting preferences from indiv…
Personalized Classifier Ensemble Pruning Framework for Mobile Crowdsourcing
Shaowei Wang, Liusheng Huang, Pengzhan Wang +2
Ensemble learning has been widely employed by mobile applications, ranging from environmental sensing to activity recognitions. One of the fundamental issue in ensemble learning is…
Mutual Information Optimally Local Private Discrete Distribution Estimation
Shaowei Wang, Liusheng Huang, Pengzhan Wang +5
Consider statistical learning (e.g. discrete distribution estimation) with local -differential privacy, which preserves each data provider's privacy locally, we aim to optimize…
Queueing Analysis for Preemptive Transmission in Underlay Cognitive Radio Networks
Long Chen, Liusheng Huang, Hongli Xu +1
In many cognitive radio applications, there are multiple types of message queues. Existing queueing analysis works in underlay CR networks failed to discuss packets heterogeneity.…
PPS: Privacy-Preserving Strategyproof Social-Efficient Spectrum Auction Mechanisms
He Huang, Xiang-Yang Li, Yu-e Sun +2
Many spectrum auction mechanisms have been proposed for spectrum allocation problem, and unfortunately, few of them protect the bid privacy of bidders and achieve good social effic…
Near-Optimal Truthful Auction Mechanisms in Secondary Spectrum Markets
Yu-e Sun, He Huang, Xiang-Yang Li +4
In this work, we study spectrum auction problem where each request from secondary users has spatial, temporal, and spectral features. With the requests of secondary users and the r…
Truthful Auction Mechanism for Heterogeneous Spectrum Allocation in Wireless Networks
He Huang, Yu-e Sun, Xiang-yang Li +3
Secondary spectrum auction is widely applied in wireless networks for mitigating the spectrum scarcity. In a realistic spectrum trading market, the requests from secondary users of…