| A survey on federated learning for resource-constrained iot devices A Imteaj, U Thakker, S Wang, J Li, MH Amini IEEE Internet of Things Journal 9 (1), 1-24, 2021 | 602 | 2021 |
| Federated learning for resource-constrained iot devices: Panoramas and state of the art A Imteaj, K Mamun Ahmed, U Thakker, S Wang, J Li, MH Amini Federated and Transfer Learning, 7-27, 2022 | 82 | 2022 |
| Incentivizing Sharing in Realtime D2D Streaming Networks: A Mean Field Game Perspective J Li, R Bhattacharyya, S Paul, S Shakkottai, V Subramanian INFOCOM, 2015 Proceedings IEEE, 2119-2127, 2015 | 75 | 2015 |
| Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice S Wang, J Li, S Wang Advances in Neural Information Processing Systems 33, 2020 | 55* | 2020 |
| Seizing Critical Learning Periods in Federated Learning G Yan, H Wang, J Li Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8788-8796, 2022 | 52* | 2022 |
| PA-cache: Evolving learning-based popularity-aware content caching in edge networks Q Fan, X Li, J Li, Q He, K Wang, J Wen IEEE Transactions on Network and Service Management 18 (2), 1746-1757, 2021 | 52* | 2021 |
| DR-cache: Distributed resilient caching with latency guarantees J Li, TK Phan, WK Chai, D Tuncer, G Pavlou, D Griffin, M Rio IEEE INFOCOM 2018-IEEE Conference on Computer Communications, 441-449, 2018 | 51 | 2018 |
| Accelerating serverless computing by harvesting idle resources H Yu, H Wang, J Li, X Yuan, SJ Park Proceedings of the ACM Web Conference 2022, 1741-1751, 2022 | 49* | 2022 |
| Online Peak-Aware Energy Scheduling with Untrusted Advice R Lee, J Maghakian, M Hajiesmaili, J Li, R Sitaraman, Z Liu Proc. of ACM e-Energy, 2021 | 47* | 2021 |
| Accurate learning or fast mixing? Dynamic adaptability of caching algorithms J Li, S Shakkottai, JCS Lui, V Subramanian IEEE Journal on Selected Areas in Communications 36 (6), 1314-1330, 2018 | 47 | 2018 |
| gl2vec: Learning feature representation using graphlets for directed networks K Tu, J Li, D Towsley, D Braines, LD Turner Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 44 | 2019 |
| Quickest detection of dynamic events in networks S Zou, VV Veeravalli, J Li, D Towsley IEEE Transactions on Information Theory, 2019 | 39 | 2019 |
| RL-Bélády: A unified learning framework for content caching G Yan, J Li Proceedings of the 28th ACM International Conference on Multimedia, 1009-1017, 2020 | 28 | 2020 |
| Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits G Xiong, J Li, R Singh Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8726-8734, 2022 | 27* | 2022 |
| Energy Coupon: A Mean Field Game Perspective on Demand Response in Smart Grids J Li, B Xia, X Geng, H Ming, S Shakkottai, V Subramanian, L Xie Sigmetrics, Proceedings of the 2015 ACM Sigmetrics, 455-456, 2015 | 27 | 2015 |
| Criticalfl: A critical learning periods augmented client selection framework for efficient federated learning G Yan, H Wang, X Yuan, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 26 | 2023 |
| DRL-D: Revenue-aware online service function chain deployment via deep reinforcement learning Q Fan, P Pan, X Li, S Wang, J Li, J Wen IEEE Transactions on Network and Service Management 19 (4), 4531-4545, 2022 | 25* | 2022 |
| A TTL-based Approach for Data Aggregation in Geo-distributed Streaming Analytics D Kumar, J Li, A Chandra, R Sitaraman Proceedings of the ACM on Measurement and Analysis of Computing Systems (ACM …, 2019 | 25 | 2019 |
| Network Classification in Temporal Networks Using Motifs K Tu, J Li, D Towsley, D Braines, LD Turner Proceedings of ECML/PKDD Workshop on Advanced Analytics and Learning on …, 2018 | 25 | 2018 |
| Network Cache Design under Stationary Requests: Exact Analysis and Poisson Approximation NK Panigrahy, J Li, D Towsley, CV Hollot Computer Networks, 107379, 2020 | 23 | 2020 |
Don TowsleyUniversity of Massachusettscs.umass.edu의 이메일 확인됨