Marie Siew

According to our database, Marie Siew authored at least 23 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

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

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).

Nan Li, Wanting Yang, Marie Siew, Zehui Xiong, Binbin Chen, Shiwen Mao, Kwok-Yan Lam

CoRR, August, 2025

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

Kai Han, Marie Siew, Bingbing Xu, Shengjun Guo, Tianxiang Wang, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren

IEEE Internet Things J., April, 2025

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

Haoran Zhang, Zejun Gong, Zekai Li, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi

CoRR, April, 2025

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

Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong

CoRR, February, 2025

2024

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

Marie Siew, Shikhar Sharma, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek

IEEE Trans. Serv. Comput., 2024

Fair Concurrent Training of Multiple Models in Federated Learning.

Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong

CoRR, 2024

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

Hanqing Yang, Marie Siew, Carlee Joe-Wong

CoRR, 2024

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

Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi

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

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

Kai Han, Bingbing Xu, Marie Siew, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Cache-Enabled Federated Learning Systems.

Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew

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

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

Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong

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.

Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek

Proceedings of the IEEE International Conference on Communications, 2023

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

Sha Xie, Marie Siew, Lingxiang Li, Zhi Chen, Tianlong Yang

Proceedings of the IEEE Global Communications Conference, 2023

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

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.

Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong

CoRR, 2022

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

Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek

CoRR, 2022

2021

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

Lingxiang Li, Marie Siew, Zhi Chen, Tony Q. S. Quek

IEEE Trans. Veh. Technol., 2021

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

Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek

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

2020

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

Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek

IEEE Trans. Netw. Sci. Eng., 2020

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

Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek

Proceedings of the IEEE Global Communications Conference, 2020

2019

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

Lingxiang Li, Marie Siew, Tony Q. S. Quek, Ju Ren, Zhi Chen, Yaoxue Zhang

CoRR, 2019

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

Lingxiang Li, Marie Siew, Tony Q. S. Quek

Proceedings of the IEEE International Conference on Acoustics, 2019