The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Privacy-aware service placement for mobile edge computing via federated learning
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In the citing paper
“Further, Qian et al., (2019) devoted to utilizing FL on MEC. They developed a privacy-aware service placement scheme to provide high-quality service by caching desired service on the edge server close to the users.”
From A review of applications in federated learning (2020) · cites this paper as Qian et al., (2019)
Citations
Cites
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
Xu, J., Chen, L., & Zhou, P. (2018) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2018.8485977 · Cited by 605
IEEE INFOCOM 2018 - IEEE Conference on Computer Communications
(2018) · doi:10.1109/infocom36044.2018 · Cited by 379
Privacy Protection for Preventing Data Over-Collection in Smart City
Li, Y., Dai, W., Ming, Z., & Qiu, M. (2015) · IEEE Transactions on Computers · doi:10.1109/tc.2015.2470247 · Cited by 329
Energy Efficient Task Caching and Offloading for Mobile Edge Computing
Hao, Y., Chen, M., Hu, L., Hossain, M. S., & Ghoneim, A. (2018) · IEEE Access · doi:10.1109/access.2018.2805798 · Cited by 273
Enhanced fingerprinting and trajectory prediction for IoT localization in smart buildings
Lin, K., Chen, M., Deng, J., Hassan, M. M., & Fortino, G. (2016) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2016.2543242 · Cited by 246
Cognitive Computing: Architecture, Technologies and Intelligent Applications
Chen, M., Herrera, F., & Hwang, K. (2018) · IEEE Access · doi:10.1109/access.2018.2791469 · Cited by 242
He, T., Khamfroush, H., Wang, S., Porta, T. L., & Stein, S. (2018) · IEEE International Conference on Distributed Computing Systems (ICDCS) · doi:10.1109/icdcs.2018.00044 · Cited by 237
Smart Home Based on WiFi Sensing: A Survey
Jiang, H., Cai, C., Ma, X., Yang, Y., & Liu, J. (2018) · IEEE Access · doi:10.1109/access.2018.2812887 · Cited by 221
Service Entity Placement for Social Virtual Reality Applications in Edge Computing
Wang, L., Jiao, L., He, T., Li, J., & Mühlhäuser, M. (2018) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infocom.2018.8486411 · Cited by 219
Cited by
Sorted by citations
Federated Learning in Mobile Edge Networks: A Comprehensive Survey
Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.2986024 · Cited by 2,565
“The authors in [177] introduce a privacy-aware service”
BackgroundA review of applications in federated learning
Li, L., Fan, Y., Tse, M., & Lin, K.-Y. (2020) · Computers & Industrial Engineering · doi:10.1016/j.cie.2020.106854 · Cited by 1,559
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection
Li, Q., Wen, Z., Wu, Z., Hu, S., Wang, N., Li, Y., Liu, X., & He, B. (2023) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2021.3124599 · Cited by 1,407
Yin, X., Zhu, Y., & Hu, J. (2022) · ACM Computing Surveys · doi:10.1145/3460427 · Cited by 638
“Therefore, mobile edge computing emphasizes the development of network communication techniques and can benefit the development of FL. Recently, several research studies on FL in mobile edge computing have been proposed [49, 105, 116, 140, 189, 190, 201, 220].”
BackgroundResource Scheduling in Edge Computing: A Survey
Luo, Q., Hu, S., Li, C., Li, G., & Shi, W. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3106401 · Cited by 588
Metadata
- Authors
- Qian, Y., Hu, L., Chen, J., Guan, X., Hassan, M. M., & Alelaiwi, A.
- Affiliations
- China University of Geosciences (CN)
- Huazhong University of Science and Technology (CN)
- Wuhan University (CN)
- Heilongjiang University (CN)
- King Saud University (SA)
- Corresponding author
- Hu, Long
- Chen, Jing
- Guan, Xin
- Venue
- Information Sciences
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 505
- Pages
- 562-570
- ISSN
- 0020-0255 (ISSN-L)
- OpenAlex
- W2964219000
- Cited by
- 122
- References
- 37
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 22 · 2023: 17 · 2022: 26 · 2021: 24 · 2020: 13 · 2019: 1
- FWCI
- 8.76
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Sciences (publishedVersion)
- Funders
- King Saud University
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › IoT and Edge/Fog Computing
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
- Keywords
- mobile edge computing, federated learning, user privacy preservation, quality of service, 0-1 integer programming, greedy algorithm, edge resource allocation, delay-sensitive services
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