Xinchen Lyu

Orcid: 0000-0003-0404-4310

According to our database1, Xinchen Lyu authored at least 44 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Security-Communication-Computation Tradeoff of Split Decisions for Edge Intelligence.
IEEE Wirel. Commun., June, 2024

Joint Long-Term Energy Efficient Scheduling and Beamforming Design for URLLC in Cell-Free MIMO Systems.
IEEE Wirel. Commun. Lett., January, 2024

UDSem: A Unified Distributed Learning Framework for Semantic Communications Over Wireless Networks.
IEEE Netw., January, 2024

Secure and Efficient Federated Learning With Provable Performance Guarantees via Stochastic Quantization.
IEEE Trans. Inf. Forensics Secur., 2024

Similarity-Based Label Inference Attack Against Training and Inference of Split Learning.
IEEE Trans. Inf. Forensics Secur., 2024

Topology-Driven Synchronization Interval Optimization for Latency-Constrained Geo-Decentralized Federated Learning.
IEEE Open J. Commun. Soc., 2024

Hybrid learning of predictive mobile-edge computation offloading under differently-aged network states.
Future Gener. Comput. Syst., 2024

Sharp Bounds for Sequential Federated Learning on Heterogeneous Data.
CoRR, 2024

Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size.
CoRR, 2024

2023
Scalable Aggregated Split Learning for Data-Driven Edge Intelligence on Internet-of-Things.
IEEE Internet Things Mag., December, 2023

Distributed Graph-Based Optimization of Multicast Data Dissemination for Internet of Vehicles.
IEEE Trans. Intell. Transp. Syst., March, 2023

Secure and Efficient Hierarchical Decentralized Learning for Internet of Vehicles.
IEEE Open J. Commun. Soc., 2023

Convergence Analysis of Split Learning on Non-IID Data.
CoRR, 2023

Masking-enabled Data Protection Approach for Accurate Split Learning.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023

Convergence Analysis of Sequential Federated Learning on Heterogeneous Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Boosting Physical Layer Black-Box Attacks with Semantic Adversaries in Semantic Communications.
Proceedings of the IEEE International Conference on Communications, 2023

Distance-Based Online Label Inference Attacks Against Split Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust and Reliable Resource Provisioning for Delay-Critical Services with Traffic Uncertainty.
Proceedings of the IEEE Global Communications Conference, 2023

2022
Online Optimization of Energy-Efficient User Association and Workload Offloading for Mobile Edge Computing.
IEEE Trans. Veh. Technol., 2022

Online Offloading Scheduling for NOMA-Aided MEC Under Partial Device Knowledge.
IEEE Internet Things J., 2022

Clustering Label Inference Attack against Practical Split Learning.
CoRR, 2022

2021
Online Learning of Optimal Proactive Schedule Based on Outdated Knowledge for Energy Harvesting Powered Internet-of-Things.
IEEE Trans. Wirel. Commun., 2021

Distributed Online Learning of Cooperative Caching in Edge Cloud.
IEEE Trans. Mob. Comput., 2021

2020
Cooperative Computing Anytime, Anywhere: Ubiquitous Fog Services.
IEEE Wirel. Commun., 2020

Virtual Service Placement for Edge Computing Under Finite Memory and Bandwidth.
IEEE Trans. Commun., 2020

Distributed Online Optimization of Fog Computing for Internet of Things Under Finite Device Buffers.
IEEE Internet Things J., 2020

2019
Resource management of fog computing in future networks
PhD thesis, 2019

Profitable Cooperative Region for Distributed Online Edge Caching.
IEEE Trans. Commun., 2019

Optimal Online Data Partitioning for Geo-Distributed Machine Learning in Edge of Wireless Networks.
IEEE J. Sel. Areas Commun., 2019

Online Optimization of Wireless Powered Mobile-Edge Computing for Heterogeneous Industrial Internet of Things.
IEEE Internet Things J., 2019

Distributed Online Learning of Fog Computing Under Nonuniform Device Cardinality.
IEEE Internet Things J., 2019

2018
Distributed Online Optimization of Fog Computing for Selfish Devices With Out-of-Date Information.
IEEE Trans. Wirel. Commun., 2018

Energy-Efficient Admission of Delay-Sensitive Tasks for Mobile Edge Computing.
IEEE Trans. Commun., 2018

Selective Offloading in Mobile Edge Computing for the Green Internet of Things.
IEEE Netw., 2018

Multi-Timescale Decentralized Online Orchestration of Software-Defined Networks.
IEEE J. Sel. Areas Commun., 2018

Distributed Optimization of Collaborative Regions in Large-Scale Inhomogeneous Fog Computing.
IEEE J. Sel. Areas Commun., 2018

2017
Multiuser Joint Task Offloading and Resource Optimization in Proximate Clouds.
IEEE Trans. Veh. Technol., 2017

Adaptive Centralized Clustering Framework for Software-Defined Ultra-Dense Wireless Networks.
IEEE Trans. Veh. Technol., 2017

Optimal Schedule of Mobile Edge Computing for Internet of Things Using Partial Information.
IEEE J. Sel. Areas Commun., 2017

Edge Popularity Prediction Based on Social-Driven Propagation Dynamics.
IEEE Commun. Lett., 2017

Distributed Cache Placement and User Association in Multicast-Aided Heterogeneous Networks.
IEEE Access, 2017

2016
Adaptive Receding Horizon Offloading Strategy Under Dynamic Environment.
IEEE Commun. Lett., 2016

An annulus-based access class barring scheme for stationary machine-type communications devices.
Proceedings of the International Conference on Selected Topics in Mobile & Wireless Networking, 2016

Adaptive sequential offloading game for multi-cell Mobile Edge Computing.
Proceedings of the 23rd International Conference on Telecommunications, 2016


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