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2020 – today
- 2024
[j3]Marie Siew
, Shikhar Sharma, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek:
Towards Effective Resource Procurement in MEC: A Resource Re-Selling Framework. IEEE Trans. Serv. Comput. 17(1): 82-97 (2024)- [c9]Haoran Zhang, Zekai Li, Zejun Gong, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi:
Poster: Optimal Variance-Reduced Client Sampling for Multiple Models Federated Learning. ICDCS 2024: 1446-1447 - [i7]Hanqing Yang, Marie Siew, Carlee Joe-Wong:
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems. CoRR abs/2403.16809 (2024) - [i6]Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR abs/2404.13841 (2024) - 2023
- [c8]Marie Siew, Shikhar Sharma, Carlee Joe-Wong:
ACRE: Actor Critic Reinforcement Learning for Failure-Aware Edge Computing Migrations. CISS 2023: 1-6 - [c7]Sha Xie, Marie Siew, Lingxiang Li, Zhi Chen, Tianlong Yang:
Minimizing the THz Communication Outage Probability with ISAC for Delay-Sensitive Services. GLOBECOM 2023: 3990-3995 - [c6]Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek:
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading. ICC 2023: 3578-3583 - [c5]Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - [c4]Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew:
Cache-Enabled Federated Learning Systems. MobiHoc 2023: 1-11 - [i5]Shuying Gan, Marie Siew, Chao Xu, Tony Q. S. Quek:
Differentially Private Deep Q-Learning for Pattern Privacy Preservation in MEC Offloading. CoRR abs/2302.04608 (2023) - 2022
- [i4]Marie Siew, Kun Guo, Desmond W. H. Cai, Wanli Wen, Carlee Joe-Wong, Tony Q. S. Quek:
Towards Effective Resource Procurement in MEC: a Resource Re-selling Framework. CoRR abs/2203.00825 (2022) - [i3]Marie Siew, Shikhar Sharma, Kun Guo, Chao Xu, Tony Q. S. Quek, Carlee Joe-Wong:
FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing Migrations. CoRR abs/2209.14399 (2022) - 2021
- [j2]Lingxiang Li, Marie Siew, Zhi Chen, Tony Q. S. Quek:
Optimal Pricing for Job Offloading in the MEC System With Two Priority Classes. IEEE Trans. Veh. Technol. 70(8): 8080-8091 (2021) - [c3]Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek:
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems. INFOCOM 2021: 1-10 - [i2]Marie Siew, Kun Guo, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek:
Let's Share VMs: Optimal Placement and Pricing across Base Stations in MEC Systems. CoRR abs/2101.06129 (2021) - 2020
- [j1]Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek:
Dynamic Pricing for Resource-Quota Sharing in Multi-Access Edge Computing. IEEE Trans. Netw. Sci. Eng. 7(4): 2901-2912 (2020) - [c2]Marie Siew, Desmond W. H. Cai, Lingxiang Li, Tony Q. S. Quek:
A Sharing-Economy Inspired Pricing Mechanism for Multi-Access Edge Computing. GLOBECOM 2020: 1-6
2010 – 2019
- 2019
- [c1]Lingxiang Li, Marie Siew, Tony Q. S. Quek:
Learning-Based Pricing for Privacy-Preserving Job Offloading in Mobile Edge Computing. ICASSP 2019: 4784-4788 - [i1]Lingxiang Li, Marie Siew, Tony Q. S. Quek, Ju Ren, Zhi Chen, Yaoxue Zhang:
Learning-Based Priority Pricing for Job Offloading in Mobile Edge Computing. CoRR abs/1905.07749 (2019)
Coauthor Index
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