Privacy-aware service placement for mobile edge computing via federated learning

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

2019 IEEE 39th International Conference on Distributed Computing Systems (ICDCS)

(2019) · doi:10.1109/icdcs47608.2019 · Cited by 239

It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-Sharable Resources

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

Content Popularity Prediction Towards Location-Aware Mobile Edge Caching

Yang, P., Zhang, N., Zhang, S., Yu, L. C., Zhang, J., & Shen, X. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2018.2870521 · Cited by 198

A Dynamic Service Migration Mechanism in Edge Cognitive Computing

Chen, M., Li, W., Fortino, G., Hao, Y., Hu, L., & Humar, I. (2019) · ACM Transactions on Internet Technology · doi:10.1145/3239565 · Cited by 185

Towards decentralized IoT security enhancement: A blockchain approach

Qian, Y., Jiang, Y., Chen, J., Zhang, Y., Song, J., Zhou, M. L., & Pustišek, M. (2018) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2018.08.021 · Cited by 183

Uncovering the Face of Android Ransomware: Characterization and Real-Time Detection

Chen, J., Wang, C., Zhao, Z., Chen, K., Du, R., & Ahn, G. (2017) · IEEE Transactions on Information Forensics and Security · doi:10.1109/tifs.2017.2787905 · Cited by 168

ULOOF: A User Level Online Offloading Framework for Mobile Edge Computing

Neto, J. L. D., Yu, S.-Y., Macedo, D. F., Nogueira, J. M. S., Langar, R., & Secci, S. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2815015 · Cited by 155

Audio-visual emotion fusion (AVEF): A deep efficient weighted approach

Ma, Y., Hao, Y., Chen, M., Chen, J., Lu, P., & Košir, A. (2019) · Information Fusion · doi:10.1016/j.inffus.2018.06.003 · Cited by 155 · cited 1×

EARS: Emotion-aware recommender system based on hybrid information fusion

Qian, Y., Zhang⋆, Y., Ma, X., Yu, H., & Peng, L. (2018) · Information Fusion · doi:10.1016/j.inffus.2018.06.004 · Cited by 143

Resource allocation robustness in multi-core embedded systems with inaccurate information

Jiayin Li, A., Ming, Z., Meikang Qiu, A., Quan, G., Qin, X., & Chen, T. (2011) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2011.03.005 · Cited by 131

Label-less Learning for Emotion Cognition

Chen, M., & Hao, Y. (2019) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2019.2929071 · Cited by 124

Selfish Decentralized Computation Offloading for Mobile Cloud Computing in Dense Wireless Networks

Jošilo, S., & Dán, G. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2829874 · Cited by 121

TIDE: Time-relevant deep reinforcement learning for routing optimization

Sun, P., Hu, Y., Lan, J., Tian, L., & Chen, M. (2019) · Future Generation Computer Systems · doi:10.1016/j.future.2019.04.014 · Cited by 118

Label-less Learning for Traffic Control in an Edge Network

Chen, M., Hao, Y., Lin, K., Yuan, Z., & Hu, L. (2018) · IEEE Network · doi:10.1109/mnet.2018.1800110 · Cited by 115

Privacy Protection and Intrusion Avoidance for Cloudlet-Based Medical Data Sharing

Chen, M., Qian, Y., Chen, J., Hwang, K., Mao, S., & Hu, L. (2016) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2016.2617382 · Cited by 113

ILLIA: Enabling $k$ -Anonymity-Based Privacy Preserving Against Location Injection Attacks in Continuous LBS Queries

Zhao, P., Li, J., Zeng, F., Xiao, F., Wang, C., & Jiang, H. (2018) · IEEE Internet of Things Journal · doi:10.1109/jiot.2018.2799545 · Cited by 112

Informer homed routing fault tolerance mechanism for wireless sensor networks

Meikang Qiu, A., Ming, Z., Jiayin Li, A., Liu, J., Quan, G., & Zhu, Y. (2013) · Journal of Systems Architecture · doi:10.1016/j.sysarc.2012.12.003 · Cited by 108

Opportunistic Task Scheduling over Co-Located Clouds in Mobile Environment

Chen, M., Hao, Y., Lai, C., Wu, D., Li, Y., & Hwang, K. (2016) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2016.2589247 · Cited by 108

Wearable Affective Robot

Chen, M., Zhou, J., Tao, G., Yang, J., & Hu, L. (2018) · IEEE Access · doi:10.1109/access.2018.2877919 · Cited by 105

Data Allocation for Hybrid Memory With Genetic Algorithm

Meikang Qiu, A., Chen, Z., Niu, J., Zong, Z., Quan, G., Qin, X., & Yang, L. T. (2015) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2015.2398824 · Cited by 103

Adaptive Wireless Video Streaming Based on Edge Computing: Opportunities and Approaches

Wang, D., Peng, Y., Ma, X., Ding, W., Jiang, H., Chen, F., & Liu, J. (2018) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2018.2828426 · Cited by 103

Online Resource Allocation, Content Placement and Request Routing for Cost-Efficient Edge Caching in Cloud Radio Access Networks

Pu, L., Jiao, L., Chen, X., Wang, L., Xie, Q., & Xu, J. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2844624 · Cited by 100

Cognitive information measurements: A new perspective

Chen, M., Hao, Y., Gharavi, H., & Leung, V. C. M. (2019) · Information Sciences · doi:10.1016/j.ins.2019.07.046 · Cited by 84

Localization Based on Social Big Data Analysis in the Vehicular Networks

Lin, K., Luo, J., Hu, L., Hossain, M. S., & Ghoneim, A. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2016.2641467 · Cited by 80

Blind Filtering at Third Parties: An Efficient Privacy-Preserving Framework for Location-Based Services

Chen, J., He, K., Yuan, Q., Chen, M., Du, R., & Xiang, Y. (2018) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2018.2811481 · Cited by 74

Green Video Transmission in the Mobile Cloud Networks

Lin, K., Song, J., Luo, J., Ji, W., Hossain, M. S., & Ghoneim, A. (2016) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2016.2539618 · Cited by 68

Red/LeD: An Asymptotically Optimal and Scalable Online Algorithm for Service Caching at the Edge

Zhao, T., Hou, I.-H., Wang, S., & Chan, K. (2018) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2018.2844919 · Cited by 67

Batch Identification Game Model for Invalid Signatures in Wireless Mobile Networks

Chen, J., He, K., Yuan, Q., Xue, G., Du, R., & Wang, L. (2016) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2016.2604820 · Cited by 51

Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense NetworksPreprint

Xu, J., Chen, L., & Zhou, P. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.05868 · Cited by 24

Task Offloading and Replication for Vehicular Cloud Computing: A Multi-Armed Bandit ApproachPreprint

Chen, L., & Xu, J. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1812.04575 · Cited by 2

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

A 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

A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

Yin, X., Zhu, Y., & Hu, J. (2022) · ACM Computing Surveys · doi:10.1145/3460427 · Cited by 638

Resource 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

PrivacyAware Federated Edge Server Placement for Socially Collaborative Mobile Applications

Asghari, A., Mojahedivaraki, M., & Barzegarinezhad, A. (2026) · Big Data and Cognitive Computing · doi:10.3390/bdcc10090320

Cooperative Service Placement and Scheduling in Edge Clouds: A Deadline-Driven Approach

Li, Y., Dai, W., Gan, X., Jin, H., Fu, L., Ma, H., & Wang, X. (2021) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2021.3061602 · Cited by 54

Privacy-Preserving QoS Forecasting in Mobile Edge Environments

Zhang, P., Jin, H., Dong, H., Song, W., & Bouguettaya, A. (2020) · IEEE Transactions on Services Computing · doi:10.1109/tsc.2020.2977018 · Cited by 23

PSDF: Privacy-aware IoV Service Deployment with Federated Learning in Cloud-Edge Computing

Xu, X., Liu, W., Zhang, Y., Zhang, X., Dou, W., Qi, L., & Bhuiyan, M. Z. A. (2022) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3501810 · Cited by 63

Adaptive joint placement of edge intelligence services in mobile edge computing

Du, L., Huo, R., Sun, C., Wang, S., & Huang, T. (2023) · Wireless Networks · doi:10.1007/s11276-023-03520-4 · Cited by 13