Publications
DAIS-ITA Project (2016-2026)
Below are the papers Professor Leung's group publishes on the DAIS-ITA project (started in December 2016).
For all papers published on the NIS-ITA (2006-2016), please visit NIS-ITA's Science Library.
Optimized Resource Allocation
- F. Zafari, K.K. Leung, D. Towsley, P. Basu , A. Swami and J. Li, “Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds,” submitted to IEEE Transactions on Network and Service Management.
- F. Zafari, P. Basu, K.K. Leung, J. Li, A. Swami, and D. Towsley, “Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach,” submitted to IEEE ICDCS 2020.
- F. Zafari, K.K. Leung, D. Towsley, P. Basu and A. Swami, “A Game-Theoretic Framework for Resource Sharing in Clouds,” presented at the IEEE/IFIP WMNC, Paris, France, September 2019.
- F. Zafari, A. Gkelias, and K.K. Leung, “A Survey of Indoor Localization Systems and Technologies,” IEEE Transactions on Control of Network Systems, Early Access 2019.
- F. Zafari, J. Li, K.K. Leung, D. Towsley, and A. Swami, “Optimal Energy Consumption for Communication, Computation, Caching and Quality Guarantee,” presented at the IEEE/IFIP WMNC, Paris, France, September 2019.
- N.K. Panigrahy, J. Li, F. Zafari, D. Towsley, and P. Yu, “Jointly Caching and Compressing Data in Wireless Sensor Networks,” presented at the IEEE SMARTCOMP, Washington D.C., June 2019.
- F. Zafari, J. Li, K.K. Leung, D. Towsley, and A. Swami, “Optimal Energy Tradeoff among Communication, Computation, Caching with QoI Guarantee,” presented at the IEEE Globecom, Abu Dhabi, UAE, December 2018.
- F. Zafari, J. Li, K.K. Leung, D. Towsley, and A. Swami, “Optimal Energy Tradeoff among Communication, Computation, Caching with QoI Guarantee,” presented at the IEEE Globecom, Abu Dhabi, UAE, December 2018.
- F. Zafari, J. Li, K.K. Leung, D. Towsley, and A. Swami, “
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge
,” presented at the ACM Mobicom, New Delhi, India, October 2018.
- J. Li, F. Zafari, D. Towsley, K.K. Leung, and A. Swami, “Joint Data Compression and Caching: Approaching Optimality with Guarantees
,” presented at the ACM ICPE, Berlin, Germany, April 2018.
Distributed Machine Learning
- T. Tuor, S. Wang, K.K. Leung and B.J. Ko, “Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems,” presented at the IEEE ICDCS, Texas, USA, July 2019.
- S. Wang, T. Tuor, T. Salonidis, K.K. Leung, C. Makaya, T. He and K. Chan, “Adaptive Federated Learning in Resource Constrained Edge Computing Systems,” IEEE Journal on Selected Areas of Communications, Vol. 37, No. 6, pp. 1205-1221, 2019.
- D. Conway-Jones, T. Tuor, S. Wang and K.K. Leung, “Demonstration of Federated Learning in a Resource-Constrained Networked Environment,” IEEE Smart Computing (SMARTCOMP), Washington D.C., USA, June 2019.
- T. Tuor, S. Wang and K.K. Leung, “Distributed Machine Learning in Coalition Environments,” 21st International Conference on Information Fusion (Fusion), Cambridge, UK, July 2018.
- T. Tuor, S. Wang, K.K. Leung and B.J. Ko, “Understanding information leakage of distributed inference with deep nerual networks,” SPIE Commercial + Scientific Sensing and Image Conference, April 2018, Florida, USA.
- T. Tuor, S. Wang, T. Salonidis,B .J.Ko, K.K. Leung, “ Demo Abstract: Distributed Machine Learning at Resource-Limited Edge Nodes,” presented at the IEEE Infocom, April 2018, Hawaii, USA.
- S. Wang, T. Tuor, T. Salonidis, K.K. Leung, C. Makaya, T. He and K. Chan, “When Edge Meets Learning: Adaptive control for resource-constrained distributed machine learning,” presented at the IEEE Infocom, April 2018, Hawaii, USA.
SDN Synchronization
- Z. Zhang, L. Ma, K.K. Leung, K Poularakis, L. Tassiulas, J. Tucker and A. Swami, “Controller Synchronization by Multi-Agent Reinforcement Learning and Temporal Data Enhancement for Distributed SDN,” submitted to IEEE ICDCS 2020.
- Z. Zhang, L. Ma, K Poularakis, K.K. Leung, J. Tucker and A. Swami, “MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design,” IEEE ICNP, Illinois, USA, October 2019.
- Z. Zhang, L. Ma, K.K. Leung, F. Le, S. Kompella and L. Tassiulas, “How Advantageous Is It? An Analytical Study of Controller-Assisted Path Construction in Distributed SDN,” IEEE/ACM Transactions on Networking, Vol. 27, No. 4, pp. 1643-1656, July 2019
- Z. Zhang, L. Ma, K. Poularaki, K.K. Leung and L. Wu, “DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN,” presented at IEEE ICC 2019, Shanghai, China, May 2019 (Best Paper Award).
- Z. Zhang, L. Ma, K.K. Leung, L. Tassiulas, and J. Tucker, “Q-Placement: Reinforcement-Learning-Based Service Placement in Software-Defined Networks,” presented at the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018), Vienna, Austria, July 2018.
- L. Ma, Z. Zhang, B.J. Ko, M. Srivatsa, and K.K. Leung, “Resource management in distributed SDN using reinforcement learning,” SPIE Commercial + Scientific Sensing and Image Conference, April 2018, Florida, USA.
- Z. Zhang, L. Ma, K.K. Leung, F.Le, “More Is Not Always Better: An Analytical Study of Controller Synchronizations in Distributed SDN,” Submitted to IEEE/ACM Transactions on Networking.
|