[Dec 2022] Our paper "Constrained Bandit Learning with Switching Costs for Wireless Networks" got accepted to the IEEE INFOCOM 2023 (Acceptance rate: 19.2%).
[Nov 2022] Congratulations to Mahdi on receiving the IEEE Globecom 2022 student travel grant.
[May 2022] MASc student Mahdi was invited to speak at Flower Summit 2022 on Communication-efficient Federated Learning with Autoencoder Compression.
[March 2022] Congratulations to undergraduate student Bill Zhang on receiving a Charles Allan Thompson Award for Summer 2022.
[March 2022] Congratulations to Juaren and Mahdi on receiving the IEEE INFOCOM 2022 student conference grant.
[Feb 2022] Our paper "Multi-frame Scheduling for Federated Learning over Energy-Efficient 6G Wireless Networks" got accepted to the IEEE INFOCOM 2022 workshop on Pervasive Network Intelligence for 6G Networks.
[Dec 2021] Our paper "Learning from Delayed Semi-Bandit Feedback under Strong Fairness Guarantees" got accepted to the IEEE INFOCOM 2022 (Acceptance rate: 19.9%).
[Dec 2021] PhD student Juaren Steiger received Mitacs Globalink Research Award. Congratulations to Juaren.
Foundations: networking, computing, and learning for wireless networks
Applications: IoT, 5G and beyond, connected vehicles
PhD Students
Juaren Steiger (May 2021)
Md. Mahfujul Kadir (Jan 2021)
Master Students
Mahdi Beitollahi (Jan 2021)
Kasra Khalafi (Sept 2021)
Golnaz Bashirian (Jan 2022)
Bill Zhang (Sept 2022)
Undergraduate Students
Alastor Liu (Jan 2022 - Aug 2022)
Bill Zhang (May 2022 - Aug 2022)
J. Steiger, B. Li, and N. Lu, "Learning from Delayed Semi-Bandit Feedback under Strong Fairness Guarantees," In Proc. IEEE International Conference on Computer Communications (INFOCOM), May 2022. [Acceptance rate: 19.9%]
G. Liu, W. Quan, N. Cheng, N. Lu, H. Zhang, and X. Shen, "P4NIS: A P4-based Network Immune System Against Eavesdropping Attacks," Proc. IEEE Infocom'20 Workshop on New IP: The Next Step, Toronto, Canada, July 6-9, 2020.
X. Kong, N. Lu, B. Li, "Optimal Scheduling for Unmanned Aerial Vehicle Networks with Flow-Level Dynamics," IEEE Transactions on Mobile Computing (Early Access), November 2019.
N. Lu, Y. Zhou, C. Shi, N. Cheng, L. Cai, and B. Li, "Planning while flying: a measurement-aided dynamic planning of drone small cells," IEEE Internet of Things Journal, Vol. 6, No. 2, pp. 2693-2705, 2018.
N. Lu, B. Ji, and B. Li, "Age-based Scheduling: Improving Data Freshness for Wireless Real-Time Traffic," Proceedings of ACM MobiHoc 2018, Los Angeles, California, USA, June 2018.
N. Cheng, W. Xu, W. Shi, Y. Zhou, N. Lu, H. Zhou, and X. Shen, "Air-ground integrated mobile edge networks: architecture, challenges and opportunities," IEEE Communications Magazine, Vol. 56, No. 8, pp. 25-32, 2018.
