Jingpu Duan

Orcid: 0000-0001-7507-2197

According to our database1, Jingpu Duan authored at least 37 papers between 2015 and 2024.

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Bibliography

2024
Stochastic Long-Term Energy Optimization in Digital Twin-Assisted Heterogeneous Edge Networks.
IEEE J. Sel. Areas Commun., November, 2024

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning With Static and Streaming Datasets.
IEEE Trans. Mob. Comput., July, 2024

An Offline-Transfer-Online Framework for Cloud-Edge Collaborative Distributed Reinforcement Learning.
IEEE Trans. Parallel Distributed Syst., May, 2024

A survey on modeling for behaviors of complex intelligent systems based on generative adversarial networks.
Comput. Sci. Rev., 2024

DHNet: A Distributed Network Architecture for Smart Home.
CoRR, 2024

CPT: Competence-progressive Training Strategy for Few-shot Node Classification.
CoRR, 2024

MATE: When multi-agent Deep Reinforcement Learning meets Traffic Engineering in multi-domain networks.
Comput. Networks, 2024

POSTER: In-network Model Inference for Distributed Systems via Programmable Switches.
Proceedings of the ACM SIGCOMM 2024 Conference: Posters and Demos, 2024

Can You Do Both? Balancing Order Serving and Crowdsensing for Ride-Hailing Vehicles.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Rosevin: Employing Resource- and Rate-Adaptive Edge Super-Resolution for Video Streaming.
Proceedings of the IEEE INFOCOM 2024, 2024

Alleviating All-to-All Communication for Deep Learning Recommendation Model Inference.
Proceedings of the Workshop Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023
Task Placement and Resource Allocation for Edge Machine Learning: A GNN-Based Multi-Agent Reinforcement Learning Paradigm.
IEEE Trans. Parallel Distributed Syst., December, 2023

A Machine Learning-Based Framework for Dynamic Selection of Congestion Control Algorithms.
IEEE/ACM Trans. Netw., August, 2023

AdaptNF: Adaptive service chain scheduling with stateless migration and NF consolidation.
Digit. Commun. Networks, April, 2023

Cable: A framework for accelerating 5G UPF based on eBPF.
Comput. Networks, February, 2023

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset.
CoRR, 2023

EdgeC3: Online Management for Edge-Cloud Collaborative Continuous Learning.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

RLink: Accelerate On-Device Deep Reinforcement Learning with Inference Knowledge at the Edge.
Proceedings of the 19th International Conference on Mobility, Sensing and Networking, 2023

A Budget-aware Incentive Mechanism for Vehicle-to-Grid via Reinforcement Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Enabling Reliable and Efficient Performance Monitoring and Troubleshooting in Datacenter Networks.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

AdaCoOpt: Leverage the Interplay of Batch Size and Aggregation Frequency for Federated Learning.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Federated Learning at the Edge: An Interplay of Mini-batch Size and Aggregation Frequency.
Proceedings of the IEEE INFOCOM 2023, 2023

TapFinger: Task Placement and Fine-Grained Resource Allocation for Edge Machine Learning.
Proceedings of the IEEE INFOCOM 2023, 2023

Emulating High-performance Networks with CNNet.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

An Online Control Approach of Collaborative Federated Learning with Constrained Resources.
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023

2022
Weighted NSFIB Aggregation With Generalized Next Hop of Strict Partial Order.
IEEE Trans. Netw. Serv. Manag., 2022

Pricing-based resource allocation in three-tier edge computing for social welfare maximization.
Comput. Networks, 2022

Mousika: Enable General In-Network Intelligence in Programmable Switches by Knowledge Distillation.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
FlexNF: Flexible Network Function Orchestration on the Programmable Data Plane.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Antelope: A Framework for Dynamic Selection of Congestion Control Algorithms.
Proceedings of the 29th IEEE International Conference on Network Protocols, 2021

2020
A proactive auto-scaling scheme with latency guarantees for multi-tenant NFV cloud.
Comput. Networks, 2020

2019
NFVactor: A Resilient NFV System Using the Distributed Actor Model.
IEEE J. Sel. Areas Commun., 2019

NetStar: A Future/Promise Framework for Asynchronous Network Functions.
IEEE J. Sel. Areas Commun., 2019

FlowShader: a Generalized Framework for GPU-accelerated VNF Flow Processing.
Proceedings of the 27th IEEE International Conference on Network Protocols, 2019

2017
Dynamic Scaling of Virtualized, Distributed Service Chains: A Case Study of IMS.
IEEE J. Sel. Areas Commun., 2017

GPUNFV: a GPU-Accelerated NFV System.
Proceedings of the First Asia-Pacific Workshop on Networking, 2017

2015
Responsive multipath TCP in SDN-based datacenters.
Proceedings of the 2015 IEEE International Conference on Communications, 2015


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