Publications
Recent Publications
S. Wang, G. Xiong, S. Zhang, H. Zeng, J. Li and S. Panwar, "Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks". IEEE Transactions on Wireless Communications (IEEE TWC), accepted, June 2024.
G. Xiong, S. Wang, J. Li and R. Singh, "Whittle Index based Q-learning for Wireless Edge Caching with Linear Function Approximation". IEEE/ACM Transactions on Networking (IEEE/ACM TON), accepted, June 2024.
G. Xiong, G. Yan, S. Wang and J. Li, "DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations". Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
S. Wang, G. Xiong and J. Li, "Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints". Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2024.
H. Yu, R. Roy, C. Fontenot, D. Tiwari, J. Li, H. Zhang, H. Wang and S. Park, "RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing". Proceedings of ACM Conference on Architectural Support for Programming Languages and Operating Systems (ACM ASPLOS), San Diego, CA, April 2024.
G. Xiong and J. Li, "Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation". Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, December 2023.
G. Yan, H. Wang, X. Yuan and J. Li, "CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning". Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD), Long Beach, CA, August 2023.
J. Maghakian, R. Lee, M. Hajiesmaili, J. Li, R. Sitaraman and Z. Liu, "Applied Online Algorithms with Heterogeneous Predictors". Proceedings of the Fortieth International Conference on Machine Learning (ICML), Honolulu, HI, July 2023.
G. Xiong, S. Wang, G. Yan and J. Li, "Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach". IEEE/ACM Transactions on Networking (IEEE/ACM TON), vol. 31, no. 5, pp. 2147-2161, October 2023. (An extended version of IEEE INFOCOM 2022)
G. Xiong and J. Li, "Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits". Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), Washington, DC, February 2023. [Oral Presentation]
G. Xiong, S. Wang and J. Li, "Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness". Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, LA, November 2022.
G. Xiong, X. Qin, B. Li, R. Singh and J. Li, "Index-Aware Reinforcement Learning for Adaptive Video Streaming at the Wireless Edge". Proceedings of ACM Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), Seoul, South Korea, October 2022.
G. Yan and J. Li, "Towards Latency Awareness for Content Delivery Network Caching". Proceedings of USENIX Annual Technical Conference (USENIX ATC), Carlsbad, CA, July 2022.
G. Xiong, J. Li and R. Singh, "Reinforcement Learning Augmented Asymptotically Optimal Index Policies for Finite-Horizon Restless Bandits". Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2022. [Oral Presentation]
G. Yan, H. Wang and J. Li, "Seizing Critical Learning Periods in Federated Learning". Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Canada, February 2022.
G. Yan, J. Li and D. Towsley, "Learning from Optimal Caching for Content Delivery". Proceedings of ACM International Conference on emerging Networking EXperiments and Technologies (ACM CoNEXT), Munich, Germany, December 2021.
R. Lee, J. Maghakian, M. Hajiesmaili, J. Li, R. Sitaraman and Z. Liu, "Online Peak-Aware Energy Scheduling with Untrusted Advice". Proceedings of ACM International Conference on Future Energy Systems (ACM e-Energy), Torino, Italy, June 2021. [Best Paper Runner-Up Award]
S. Wang, J. Li and S. Wang, "Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice". Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 2020.
The student authors that I supervise are underlined in bold. Asterisk * indicates co-primary authors.
2024
[IEEE TWC] Structured Reinforcement Learning for Delay-Optimal Data Transmission in Dense mmWave Networks [pdf]
Shufan Wang, Guojun Xiong, Shichen Zhang, Huacheng Zeng, Jian Li and Shivendra Panwar
IEEE Transactions on Wireless Communications (IEEE TWC), accepted, June 2024.
[IEEE/ACM TON] Whittle Index based Q-Learning for Wireless Edge Caching with Linear Function Approximation [pdf]
Guojun Xiong, Shufan Wang, Jian Li and Rahul Singh
IEEE/ACM Transactions on Networking (IEEE/ACM TON), accepted, June 2024.
[ACM KDD] FedRoLa: Robust Federated Learning Against Model Poisoning Attack via Layer-based Aggregation [pdf][code]
Gang Yan, Hao Wang, Xu Yuan and Jian Li
Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 2024.
[Acceptance rate: 20%]
[ICML] Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback [pdf]
Guojun Xiong and Jian Li
Proceedings of the Forty-first International Conference on Machine Learning, Vienna, Austria, July 2024.
[Acceptance rate: 2609/9473=27.5%]
Haomin Zhuang, Mingxian Yu, Hao Wang, Yang Hua, Jian Li and Xu Yuan
Proceedings of the Twelfth International Conference on Learning Representations, Vienna, Austria, May 2024.
[Acceptance rate: 31%]
[ACM ASPLOS] RainbowCake: Mitigating Cold-starts in Serverless with Layer-wise Container Caching and Sharing [pdf][code]
Hanfei Yu, Rohan Basu Roy, Christian Fontenot, Devesh Tiwari, Jian Li, Hong Zhang, Hao Wang and Seung-Jong Park
Proceedings of ACM Conference on Architectural Support for Programming Languages and Operating Systems, San Diego, CA, April 2024.
[Acceptance rate: 16.3%]
[AAAI] DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations [pdf] [code]
Guojun Xiong, Gang Yan, Shiqiang Wang and Jian Li
Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2024.
[Acceptance rate: 2342/9862=23.75%]
[AAAI] Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints [pdf]
Shufan Wang, Guojun Xiong and Jian Li
Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2024.
[Acceptance rate: 2342/9862=23.75%]
[AAAI] Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing [pdf]
Hanfei Yu, Jian Li, Yang Hua, Xu Yuan and Hao Wang
Proceedings of Thirty-Eighth AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2024.
[Acceptance rate: 2342/9862=23.75%]
2023
[NeurIPS] Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation [pdf]
Guojun Xiong and Jian Li
Proceedings of the Thirty-seventh Conference on Neural Information Processing Systems, New Orleans, LA, December 2023.
[Acceptance rate: 3222/12343=26.1%]
[ACM KDD] CriticalFL: A Critical Learning Periods Augmented Client Selection Framework for Efficient Federated Learning [pdf][code]
Gang Yan, Hao Wang, Xu Yuan and Jian Li
Proceedings of ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Long Beach, CA, August 2023.
[Acceptance rate: 313/1416=22.1%]
[ICML] Applied Online Algorithms with Heterogeneous Predictors [pdf]
Jessica Maghakian, Russell Lee, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman and Zhenhua Liu
Proceedings of the Fortieth International Conference on Machine Learning, Honolulu, HI, July 2023.
[Acceptance rate: 1827/6538=27.9%]
[ICML] Online Restless Bandits with Unobserved States [pdf]
Bowen Jiang, Bo Jiang, Jian Li, Tao Lin, Xinbing Wang and Chenghu Zhou
Proceedings of the Fortieth International Conference on Machine Learning, Honolulu, HI, July 2023.
[Acceptance rate: 1827/6538=27.9%]
Hanfei Yu, Christian Fontenot, Hao Wang, Jian Li, Xu Yuan and Seung-Jong Park
Proceedings of ACM International Symposium on High-Performance Parallel and Distributed Computing, Orlando, FL, June 2023.
[Acceptance rate: 22.8%]
[IEEE/ACM TON] Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach [pdf] [code]
Guojun Xiong, Shufan Wang, Gang Yan and Jian Li
IEEE/ACM Transactions on Networking, vol. 31, no. 5, pp. 2147-2161, October 2023. (An extended version of IEEE INFOCOM 2022)
[AAAI] Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits [pdf]
Guojun Xiong and Jian Li
Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence, Washington, DC, February 2023.
[Oral Presentation] [Acceptance rate: 952/8777=10.8%]
[AAAI] DeFL: Defending Against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness [pdf] [code]
Gang Yan, Hao Wang, Xu Yuan and Jian Li
Proceedings of Thirty-Seventh AAAI Conference on Artificial Intelligence, Washington, DC, February 2023.
[Acceptance rate: 1721/8777=19.6%]
Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach
Faheem Zafari, Prithwish Basu, Kin K. Leung, Jian Li, Don Towsley and Ananthram Swami
IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 20, no. 4, pp. 4369-4382, December 2023.
Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates
Guojun Xiong*, Gang Yan*, Shiqiang Wang and Jian Li
Available at arXiv: 2306.06559
2022
[NeurIPS] Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness [pdf]
Guojun Xiong, Shufan Wang and Jian Li
Proceedings of the Thirty-sixth Conference on Neural Information Processing Systems, New Orleans, LA, November 2022.
[Acceptance rate: 2665/10411=25.6%]
[ACM MobiHoc] Index-Aware Reinforcement Learning for Adaptive Video Streaming at the Wireless Edge [pdf]
Guojun Xiong, Xudong Qin, Bin Li, Rahul Singh and Jian Li
Proceedings of ACM Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, South Korea, October 2022.
[Acceptance rate: 19.8%]
Gang Yan, and Jian Li
Proceedings of USENIX Annual Technical Conference, Carlsbad, CA, July 2022.
[Acceptance rate: 16.3%]
[IEEE INFOCOM] Reinforcement Learning for Dynamic Dimensioning of Cloud Caches: A Restless Bandit Approach [pdf] [code]
Guojun Xiong, Shufan Wang, Gang Yan and Jian Li
Proceedings of IEEE International Conference on Computer Communications, Virtual Conference, May 2022.
[Acceptance rate: 19.9%]
Hanfei Yu, Hao Wang, Jian Li, Xu Yuan and Seung-Jong Park
Proceedings of ACM Web Conference, Lyon, France, April 2022.
[Acceptance rate: 323/1822=17.7%]
[AAAI] Reinforcement Learning Augmented Asymptotically Optimal Index Policies for Finite-Horizon Restless Bandits [pdf]
Guojun Xiong, Jian Li and Rahul Singh
Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2022.
[Oral Presentation] [Acceptance rate: 416/9020=4.6%]
Gang Yan, Hao Wang and Jian Li
Proceedings of Thirty-Sixth AAAI Conference on Artificial Intelligence, Vancouver, Canada, February 2022.
[Acceptance rate: 1349/9020=15%]
A Survey on Federated Learning for Resource-Constrained IoT Devices
Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li and M. Hadi Amini,
IEEE Internet of Things Journal (IEEE IoT-J), vol. 9, no.1, pp. 1-24, January 2022.
Model-free Reinforcement Learning for Content Caching at the Wireless Edge via Restless Bandits
Guojun Xiong, Shufan Wang, Jian Li and Rahul Singh
Available at arXiv: 2202.13187
DRL-D: Revenue-Aware Online Service Function Chain Deployment via Deep Reinforcement Learning
Qilin Fan, Pan Pan, Xiuhua Li, Sen Wang, Jian Li and Junhao Wen
IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 19, no. 4, pp. 4531-4545, December 2022.
2021
Gang Yan, Jian Li, and Don Towsley
Proceedings of ACM International Conference on emerging Networking EXperiments and Technologies, Munich, Germany, December 2021.
[Acceptance rate: 22.5%]
[ACM e-Energy] Online Peak-Aware Energy Scheduling with Untrusted Advice [pdf]
Russell Lee, Jessica Maghakian, Mohammad Hajiesmaili, Jian Li, Ramesh Sitaraman and Zhenhua Liu
Proceedings of ACM International Conference on Future Energy Systems, Torino, Italy, June 2021.
[Runner Up, Best Paper Award] [Acceptance rate: 22%]
(Invited to ACM SIGEnergy Energy Informatics Review (EIR), October 2021)
A TTL-based Approach for Content Placement in Edge Networks
Nitish K. Panigrahy*, Jian Li*, Faheem Zafari, Don Towsley and Paul Yu
Proceedings of International Conference on Performance Evaluation Methodologies and Tools (VALUETOOLS), Guangzhou, China, October 2021.
FedADMP: A Joint Anomaly Detection and Mobility Prediction Framework via Federated Learning
Zezhang Yang, Jian Li and Ping Yang
EAI Endorsed Transactions on Security and Safety, vol. 8, no. 29, October 2021.
PA-Cache: Evolving Learning-based Popularity-Aware Content Caching in Edge Networks
Qilin Fan, Xiuhua Li, Jian Li, Qiang He, Kai Wang and Junhao Wen
IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 18, no.2, pp. 1746-1757, June 2021.
Let's Share: A Game-Theoretic Framework for Resource Sharing in Mobile Edge Clouds
Faheem Zafari, Kin K. Leung, Don Towsley, Prithwish Basu, Ananthram Swami and Jian Li
IEEE Transactions on Network and Service Management (IEEE TNSM), vol. 18, no. 2, pp. 2107-2122, June 2021.
2020
[NeurIPS] Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice [pdf]
Shufan Wang, Jian Li and Shiqiang Wang
Proceedings of the Thirty-fourth Conference on Neural Information Processing Systems, Vancouver, Canada, December 2020.
[Acceptance rate: 1900/9454=20%] (Preliminary version appeared in AAMAS'20 as an extended abstract)
[ACM Multimedia] RL-Belady: A Unified Learning Framework for Content Caching
Gang Yan and Jian Li
Proceedings of ACM International Conference on Multimedia, Seattle, WA, October 2020.
[Full Oral Presentation: Top 8.8%] [Acceptance rate: 472/1698=27%]
[COMNET] Network Cache Design under Stationary Requests: Exact Analysis and Poisson Approximation
Nitish K. Panigrahy, Jian Li, Don Towsley and Christopher V. Hollot
Computer Networks, vol. 180, no. 107379, October 2020.
[IEEE TIT] Quickest Detection of Dynamic Events in Networks
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li and Don Towsley
IEEE Transactions on Information Theory, vol. 66, no. 4, pp. 2280-2295, April 2020.
[IEEE TCNS] Optimal Energy Consumption for Communication, Computation, Caching and Quality Guarantee
Faheem Zafari*, Jian Li*, Kin K. Leung, Don Towsley and Ananthram Swami
IEEE Transactions on Control of Network Systems, vol. 7, no. 1, pp. 151-162, March 2020.
GCN-TD: A Learning-based Approach for Service Function Chain Deployment on the Fly
Pan Pan, Qilin Fan, Sen Wang, Xiuhua Li, Jian Li and Wenxiang Shi
Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM), Taipei, Taiwan, December 2020.
2019
[ACM SIGMETRICS] A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics
Dhruv Kumar, Jian Li, Abhishek Chandra and Ramesh Sitaraman
Proceedings of ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, Phoenix, AZ, June 2019.
[Acceptance rate: 17%]
(Also appeared in Proceedings of the ACM on Measurement and Analysis of Computing Systems (ACM POMACS), vol. 3, no. 2, article 29, June 2019.)
[IEEE/ACM ASONAM] gl2vec: Learning Feature Representation Using Graphlets for Directed Networks
Kun Tu, Jian Li, Don Towsley, Dave Braines and Liam Turner
Proceedings of IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, Vancouver, Canada, August 2019.
[Acceptance rate: 29%]
[Extended version: Kun Tu*, Jian Li*, Don Towsley, Dave Braines and Liam Turner, "Learning Features of Network Structures Using Graphlets", March 2020. (Available at arXiv: 1812.05473)]
A Consensus-based Approach for Distributed Quickest Detection of Significant Events in Networks
Jian Li, Don Towsley, Shaofeng Zou, Venugopal V. Veeravalli and Gabriela Ciocarlie
Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2019.
Distributed Quickest Detection of Significant Events in Networks
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li, Don Towsley and Ananthram Swami
Proceedings of International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Brighton, UK, May 2019. (invited paper)
Jointly Compressing and Caching Data in Wireless Sensor Networks
Nitish K. Panigrahy*, Jian Li*, Faheem Zafari, Don Towsley and Paul Yu
IEEE International Conference on Smart Computing Workshop on Distributed Analytics Infrastructure and Algorithms for Multi-Organization Federations, Washington D.C., June 2019.
Evidence to Support Common Human App-switching Behavior on Smartphones
Liam Turner, Roger. M. Whitaker, Stuart M. Allen, David E. J. Linden, Kun Tu, Jian Li and Don Towsley
Royal Society Open Science, vol. 6, no. 3, March 2019.
2018
[IEEE INFOCOM] DR-Cache: Distributed Resilient Caching with Latency Guarantees
Jian Li*, Truong K. Phan*, Wei K. Chai, Daphne Tuncer, George Pavlou, David Griffin and Miguel Rio
Proceedings of IEEE International Conference on Computer Communications, Honolulu, HI, April 2018.
[Acceptance rate: 19%]
[IEEE JSAC] Accurate Learning or Fast Mixing? Dynamic Adaptability of Caching Algorithms
Jian Li, Srinivas Shakkottai, John C. S. Lui, and Vijay Subramanian, "
IEEE Journal on Selected Areas in Communications, vol. 36(6), pp. 1314-1330, June 2018.
[ACM TOMPECS] Mean Field Games in Nudge Systems for Societal Networks
Jian Li, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay Subramanian and Le Xie
ACM Transactions on Modeling and Performance Evaluation of Computing Systems, vol. 3(4), no. 15, August 2018.
[IEEE MASCOTS] Network Cache Design under Stationary Requests: Exact Analysis and Poisson Approximation
Nitish K. Panigrahy, Jian Li and Don Towsley
Proceedings of IEEE International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, Milwaukee, WI, September 2018.
[Runner Up, Best Paper Award: Top 3.8%] [Acceptance rate: 23%]
Joint Data Compression and Caching: Approaching Optimality with Guarantees
Jian Li*, Faheem Zafari*, Don Towsley, Kin K. Leung and Ananthram Swami
Proceedings of ACM/SPEC International Conference on Performance Engineering (ACM/SPEC ICPE), Berlin, Germany, April 2018.
[Acceptance rate: 24%]
Network Classification in Temporal Networks Using Motifs
Kun Tu, Jian Li, Don Towsley, Dave Braines and Liam Turner
Proceedings of ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data (AALTD), Dublin, Ireland, September 2018. (Available at arXiv: 1807.03733)
Classifying Types of Network Communities Using Motifs
Kun Tu, Jian Li, Don Towsley, Dave Braines and Liam Turner
Machine Learning, Data Analytics and Modeling Workshop (DATAM), Thessaloniki, Greece, September 2018. (co-located with Conference on Complex Systems)
Quickest Detection of Significant Events in Structured Networks
Shaofeng Zou, Venugopal V. Veeravalli, Jian Li and Don Towsley
Proceedings of Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 2018. (invited paper)
A Game-Theoretic Approach to Multi-Objective Resource Sharing and Allocation in Mobile Edge Clouds
Faheem Zafari, Jian Li, Kin K. Leung, Don Towsley and Ananthram Swami
Proceedings of ACM Mobicom Workshop on Technologies for the Wireless Edge (EdgeTech), New Delhi, India, October 2018.
Optimal Energy Tradeoff among Communication, Computation and Caching with QoI-Guarantee
Faheem Zafari*, Jian Li*, Kin K. Leung, Don Towsley and Ananthram Swami
Proceedings of IEEE Global Communications Conference (IEEE GLOBECOM), Abu Dhabi, United Arab Emirates, December 2018.
2015-2017
[IEEE/ACM TON] Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective
Jian Li, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai and Vijay Subramanian
IEEE/ACM Transactions on Networking, vol. 25(1), pp. 3-17, February 2017.
Hit Rate vs. Hit Probability Based Cache Utility Maximization
Nitish K. Panigrahy, Jian Li and Don Towsley
ACM Workshop on Mathematical performance Modeling and Analysis (ACM MAMA), Urbana-Champaign, IL, June 2017.
ACM Performance Evaluation Review, vol. 45(2), pp. 21-23, September 2017.
[ACM SIGMETRICS] Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids
Jian Li, Bainan Xia, Xinbo Geng, Hao Ming, Srinivas Shakkottai, Vijay Subramanian and Le Xie
Proceedings of ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (short paper), Portland, OR, June 2015.
[Acceptance rate: 23%]
[IEEE INFOCOM] Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective
Jian Li, Rajarshi Bhattacharyya, Suman Paul, Srinivas Shakkottai and Vijay Subramanian
Proceedings of IEEE International Conference on Computer Communications, Hong Kong, April 2015.
[Acceptance rate: 19%]