A learning-based incentive mechanism for federated learning Y Zhan, P Li, Z Qu, D Zeng, S Guo IEEE Internet of Things Journal 7 (7), 6360-6368, 2020 | 581 | 2020 |
Computation offloading toward edge computing L Lin, X Liao, H Jin, P Li Proceedings of the IEEE 107 (8), 1584-1607, 2019 | 471 | 2019 |
Making big data open in edges: A resource-efficient blockchain-based approach C Xu, K Wang, P Li, S Guo, J Luo, B Ye, M Guo IEEE Transactions on Parallel and Distributed Systems 30 (4), 870-882, 2018 | 301 | 2018 |
A survey of incentive mechanism design for federated learning Y Zhan, J Zhang, Z Hong, L Wu, P Li, S Guo IEEE Transactions on Emerging Topics in Computing 10 (2), 1035-1044, 2021 | 298 | 2021 |
Reliable multicast with pipelined network coding using opportunistic feeding and routing P Li, S Guo, S Yu, AV Vasilakos IEEE Transactions on Parallel and Distributed Systems 25 (12), 3264-3273, 2014 | 202 | 2014 |
A Deep Reinforcement Learning Based Offloading Game in Edge Computing Y Zhan, S Guo, P Li, J Zhang IEEE Transactions on Computers 69 (6), 883-893, 2020 | 200 | 2020 |
CodePipe: An opportunistic feeding and routing protocol for reliable multicast with pipelined network coding P Li, S Guo, S Yu, AV Vasilakos 2012 Proceedings IEEE INFOCOM, 100-108, 2012 | 200 | 2012 |
Byzantine-resilient secure software-defined networks with multiple controllers in cloud H Li, P Li, S Guo, A Nayak IEEE Transactions on Cloud Computing 2 (4), 436-447, 2014 | 179 | 2014 |
Energy minimization in multi-task software-defined sensor networks D Zeng, P Li, S Guo, T Miyazaki, J Hu, Y Xiang IEEE Transactions on Computers 64 (11), 3128-3139, 2015 | 164 | 2015 |
Pyramid: A Layered Sharding Blockchain System Z Hong, S Guo, P Li, W Chen IEEE INFOCOM 2021-IEEE Conference on Computer Communications, 1-10, 2021 | 155 | 2021 |
Cost Minimization for Big Data Processing in Geo-Distributed Data Centers L Gu, D Zeng, P Li, S Guo IEEE Transactions on Emerging Topics in Computing 2 (3), 314-323, 2014 | 154 | 2014 |
A survey on energy internet communications for sustainability K Wang, X Hu, H Li, P Li, D Zeng, S Guo IEEE Transactions on Sustainable Computing 2 (3), 231-254, 2017 | 152 | 2017 |
Experience-driven computational resource allocation of federated learning by deep reinforcement learning Y Zhan, P Li, S Guo 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020 | 142 | 2020 |
Just-in-time code offloading for wearable computing Z Cheng, P Li, J Wang, S Guo IEEE Transactions on Emerging Topics in Computing 3 (1), 74-83, 2015 | 123 | 2015 |
Software-defined wireless mesh networks: architecture and traffic orchestration H Huang, P Li, S Guo, W Zhuang IEEE Network 29 (4), 24-30, 2015 | 117 | 2015 |
Renewable Energy-Aware Big Data Analytics in Geo-distributed Data Centers with Reinforcement Learning C Xu, K Wang, P Li, R Xia, S Guo, M Guo IEEE Transactions on Network Science and Engineering, 2018 | 111 | 2018 |
Near-Optimal Deployment of Service Chains by Exploiting Correlations between Network Functions H Huang, P Li, S Guo, W Liang, K Wang IEEE Transactions on Cloud Computing, 2017 | 110* | 2017 |
Joint optimization of rule placement and traffic engineering for QoS provisioning in software defined network H Huang, S Guo, P Li, B Ye, I Stojmenovic IEEE Transactions on Computers 64 (12), 3488-3499, 2015 | 94 | 2015 |
Fedgraph: Federated graph learning with intelligent sampling F Chen, P Li, T Miyazaki, C Wu IEEE Transactions on Parallel and Distributed Systems 33 (8), 1775-1786, 2021 | 87 | 2021 |
Traffic-Aware Geo-Distributed Big Data Analytics with Predictable Job Completion Time P Li, S Guo, T Miyazaki, X Liao, H Jin, AY Zomaya, K Wang IEEE Transactions on Parallel and Distributed Systems 28 (6), 1785-1796, 2017 | 75 | 2017 |