Marie Siew

Orcid: 0000-0002-9764-5010

According to our database¹, Marie Siew authored at least 31 papers between 2019 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Decentralized Federated Learning Over Time-Varying and Heterogeneous Mobile Computing Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2026

Adaptive Clustering-Enabled Large-Scale Decentralized Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., April, 2026

EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents.

[BibT_eX]

[DOI]

CoRR, March, 2026

Timing Synchronization and Symbol Detection in Ambient Backscatter Communication.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., 2026

2025

Fair Concurrent Training of Multiple Models in Federated Learning.

[BibT_eX]

[DOI]

IEEE Trans. Netw., December, 2025

On-Demand Optimization Method for Cross-Layer Topology in Multi-Task VLEO and Mega-LEO Heterogeneous Satellite Networks.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., November, 2025

Decentralized Federated Learning Framework for Social IoT With Dynamic Network Topology.

[BibT_eX]

[DOI]

Xuan Liang

Jianhua Tang

Marie Siew

IEEE Internet Things J., September, 2025

Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC).

[BibT_eX]

[DOI]

CoRR, August, 2025

A Distributed Collaborative Data Relay Method: VLEO Earth Observation Constellation Cross-Layer Access to the Mega-LEO Satellite Internet.

[BibT_eX]

[DOI]

IEEE Internet Things J., April, 2025

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Group-Based Client Sampling in Multi-Model Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 101st IEEE Vehicular Technology Conference, 2025

Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Conference on Trust, 2025

A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover.

[BibT_eX]

[DOI]

Ruide Cao

Marie Siew

David K. Y. Yau

Proceedings of the 2025 IEEE Global Communications Conference, 2025

2024

Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework.

[BibT_eX]

[DOI]

IEEE Trans. Serv. Comput., 2024

An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems.

[BibT_eX]

[DOI]

Hanqing Yang

Marie Siew

Carlee Joe-Wong

CoRR, 2024

Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning.

[BibT_eX]

[DOI]

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

Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks.

[BibT_eX]

[DOI]

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Cache-Enabled Federated Learning Systems.

[BibT_eX]

[DOI]

Proceedings of the Twenty-fourth International Symposium on Theory, 2023

Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Information Processing in Sensor Networks, 2023

Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations.

[BibT_eX]

[DOI]

Marie Siew

Shikhar Sharma

Carlee Joe-Wong

Proceedings of the 57th Annual Conference on Information Sciences and Systems, 2023

2022

FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework.

[BibT_eX]

[DOI]

CoRR, 2022

2021

Optimal Pricing for Job Offloading in the MEC System With Two Priority Classes.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2021

Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems.

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020

Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2020

2019

Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing.

[BibT_eX]

[DOI]

CoRR, 2019

Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing.

[BibT_eX]

[DOI]

Lingxiang Li

Marie Siew

Tony Q. S. Quek

Proceedings of the IEEE International Conference on Acoustics, 2019

Marie Siew

Timeline

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Bibliography

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