Liekang Zeng

Orcid: 0000-0003-4800-8768

According to our database¹, Liekang Zeng authored at least 32 papers between 2019 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2024

FlocOff: Data Heterogeneity Resilient Federated Learning With Communication-Efficient Edge Offloading.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., November, 2024

Online Optimization of DNN Inference Network Utility in Collaborative Edge Computing.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., October, 2024

Green HERO: Energy-Efficient Hierarchical Federated Learning with Client Association in Industrial IoT.

[BibT_eX]

[DOI]

IEEE Internet Things Mag., September, 2024

Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing.

[BibT_eX]

[DOI]

IEEE Wirel. Commun., June, 2024

Serving Graph Neural Networks With Distributed Fog Servers for Smart IoT Services.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2024

A3D: Adaptive, Accurate, and Autonomous Navigation for Edge-Assisted Drones.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., February, 2024

Edge Graph Intelligence: Reciprocally Empowering Edge Networks with Graph Intelligence.

[BibT_eX]

[DOI]

CoRR, 2024

Asteroid: Resource-Efficient Hybrid Pipeline Parallelism for Collaborative DNN Training on Heterogeneous Edge Devices.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual International Conference on Mobile Computing and Networking, 2024

SECO: Multi-Satellite Edge Computing Enabled Wide-Area and Real-Time Earth Observation Missions.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Galaxy: A Resource-Efficient Collaborative Edge AI System for In-situ Transformer Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Delay Analysis of Multi-Priority Computing Tasks in Alibaba Cluster Traces.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

Pluto and Charon: A Time and Memory Efficient Collaborative Edge AI Framework for Personal LLMs Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the 53rd International Conference on Parallel Processing, 2024

Service Localization and User Satisfaction Enabled Multi-Tier Computing IoT System.

[BibT_eX]

[DOI]

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, ICDCS 2024, 2024

MOGR: Multi-task Offloading via Graph Representation in Heterogeneous Computing Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

GNN at the Edge: Cost-Efficient Graph Neural Network Processing Over Distributed Edge Servers.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., March, 2023

Chained-DP: Can We Recycle Privacy Budget?

[BibT_eX]

[DOI]

Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Real-Time High-Resolution Pedestrian Detection in Crowded Scenes via Parallel Edge Offloading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

2022

Edge Robotics: Edge-Computing-Accelerated Multirobot Simultaneous Localization and Mapping.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Fograph: Enabling Real-Time Deep Graph Inference with Fog Computing.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Adaptive Progressive Image Enhancement for Edge-Assisted Mobile Vision.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022

Eco-FL: Adaptive Federated Learning with Efficient Edge Collaborative Pipeline Training.

[BibT_eX]

[DOI]

Proceedings of the 51st International Conference on Parallel Processing, 2022

AdaDrone: Quality of Navigation Based Neural Adaptive Scheduling for Edge-Assisted Drones.

[BibT_eX]

[DOI]

Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

2021

CoEdge: Cooperative DNN Inference With Adaptive Workload Partitioning Over Heterogeneous Edge Devices.

[BibT_eX]

[DOI]

IEEE/ACM Trans. Netw., 2021

Joint Multiuser DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Edge Robotics: Edge-Computing-Accelerated Multi-Robot Simultaneous Localization and Mapping.

[BibT_eX]

[DOI]

CoRR, 2021

ColaSLAM: Real-Time Multi-Robot Collaborative Laser SLAM via Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE/CIC International Conference on Communications in China, 2021

2020

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2020

Joint Multi-User DNN Partitioning and Computational Resource Allocation for Collaborative Edge Intelligence.

[BibT_eX]

[DOI]

CoRR, 2020

Knowledge Distillation for Mobile Edge Computation Offloading.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing.

[BibT_eX]

[DOI]

Proc. IEEE, 2019

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things.

[BibT_eX]

[DOI]

IEEE Netw., 2019

Cost-Aware Edge Resource Probing for Infrastructure-Free Edge Computing: From Optimal Stopping to Layered Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE Real-Time Systems Symposium, 2019

Liekang Zeng

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