Marie Siew

36 papers A* 1A 1B 6Misc 2Journal 23Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive Clustering-Enabled Large-Scale Decentralized Federated Learning.
IEEE Trans. Mob. Comput.
Jianhua Tang, Xuan Liang, Marie Siew, Tony Q. S. Quek
2026 J jnl
Decentralized Federated Learning Over Time-Varying and Heterogeneous Mobile Computing Networks.
IEEE Trans. Mob. Comput.
Baosheng Li, Weifeng Gao, Xiumei Deng, Jin Xie, Zehui Xiong, Marie Siew, Binquan Guo, Shiwen Mao, Zhu Han
2026 J jnl
EmCoop: A Framework and Benchmark for Embodied Cooperation Among LLM Agents.
CoRR
Hanqing Yang, Shiyu Chen, Narjes Nourzad, Marie Siew, Jingdi Chen, Carlee Joe-Wong
2026 J jnl
Timing Synchronization and Symbol Detection in Ambient Backscatter Communication.
IEEE Trans. Wirel. Commun.
Yuxin Li, Guangyue Lu, Yinghui Ye, Zehui Xiong, Marie Siew, Liqin Shi, Xuli Gao
2025 J jnl
A Distributed Collaborative Data Relay Method: VLEO Earth Observation Constellation Cross-Layer Access to the Mega-LEO Satellite Internet.
IEEE Internet Things J.
Kai Han, Marie Siew, Bingbing Xu, Shengjun Guo, Tianxiang Wang, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren
2025 B conf
A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover.
GLOBECOM
Ruide Cao, Marie Siew, David K. Y. Yau
2025 J jnl
A User-to-User Resource Reselling Game in Open RAN with Buffer Rollover.
CoRR
Ruide Cao, Marie Siew, David K. Y. Yau
2025 B conf
Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems.
TrustCom
Binquan Guo, Junteng Cao, Marie Siew, Bin Bin Chen, Tony Q. S. Quek, Zhu Han
2025 J jnl
Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems.
CoRR
Binquan Guo, Junteng Cao, Marie Siew, Bin Bin Chen, Tony Q. S. Quek, Zhu Han
2025 J jnl
Decentralized Federated Learning Framework for Social IoT With Dynamic Network Topology.
IEEE Internet Things J.
Xuan Liang, Jianhua Tang, Marie Siew
2025 J jnl
Edge-Assisted Collaborative Fine-Tuning for Multi-User Personalized Artificial Intelligence Generated Content (AIGC).
CoRR
Nan Li, Wanting Yang, Marie Siew, Zehui Xiong, Binbin Chen, Shiwen Mao, Kwok-Yan Lam
2025 J jnl
Fair Concurrent Training of Multiple Models in Federated Learning.
IEEE Trans. Netw.
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2025 — conf
Group-Based Client Sampling in Multi-Model Federated Learning.
VTC2025-Spring
Zejun Gong, Haoran Zhang, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2025 J jnl
LLM-Powered Decentralized Generative Agents with Adaptive Hierarchical Knowledge Graph for Cooperative Planning.
CoRR
Hanqing Yang, Jingdi Chen, Marie Siew, Tania Lorido-Botran, Carlee Joe-Wong
2025 J jnl
On-Demand Optimization Method for Cross-Layer Topology in Multi-Task VLEO and Mega-LEO Heterogeneous Satellite Networks.
IEEE Trans. Wirel. Commun.
Kai Han, Marie Siew, Bingbing Xu, Shengjun Guo, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren
2025 J jnl
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning.
CoRR
Haoran Zhang, Zejun Gong, Zekai Li, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2024 J jnl
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems.
CoRR
Hanqing Yang, Marie Siew, Carlee Joe-Wong
2024 B conf
Distributed Multi-objective Topology Optimization Method in VLEO-LEO Satellite Networks.
GLOBECOM
Kai Han, Bingbing Xu, Marie Siew, Wenbin Gong, Tony Q. S. Quek, Qianyi Ren
2024 J jnl
Fair Concurrent Training of Multiple Models in Federated Learning.
CoRR
Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2024 A conf
Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning.
ICDCS
Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi
2024 J jnl
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework.
IEEE Trans. Serv. Comput.
Marie Siew, Shikhar Sharma, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
2023 Misc conf
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations.
CISS
Marie Siew, Shikhar Sharma, Carlee Joe-Wong
2023 B conf
Cache-Enabled Federated Learning Systems.
MobiHoc
Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
2023 — conf
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading.
ICC
Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek
2023 J jnl
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading.
CoRR
Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek
2023 B conf
Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services.
GLOBECOM
Sha Xie, Marie Siew, Lingxiang Li, Zhi Chen, Tianlong Yang
2023 — conf
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices.
IPSN
Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2022 J jnl
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations.
CoRR
Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong
2022 J jnl
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework.
CoRR
Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek
2021 A* conf
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems.
INFOCOM
Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek
2021 J jnl
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems.
CoRR
Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek
2021 J jnl
Optimal Pricing for Job Offloading in the MEC System With Two Priority Classes.
IEEE Trans. Veh. Technol.
Lingxiang Li, Marie Siew, Zhi Chen, Tony Q. S. Quek
2020 B conf
A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing.
GLOBECOM
Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek
2020 J jnl
Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing.
IEEE Trans. Netw. Sci. Eng.
Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek
2019 Misc conf
Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing.
ICASSP
Lingxiang Li, Marie Siew, Tony Q. S. Quek
2019 J jnl
Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing.
CoRR
Lingxiang Li, Marie Siew, Tony Q. S. Quek, Ju Ren, Zhi Chen, Yaoxue Zhang