| A truthful procurement auction for incentivizing heterogeneous clients in federated learning R Zhou, J Pang, Z Wang, JCS Lui, Z Li 2021 IEEE 41st International Conference on Distributed Computing Systems …, 2021 | 17 | 2021 |
| An incentive auction for heterogeneous client selection in federated learning J Pang, J Yu, R Zhou, JCS Lui IEEE Transactions on Mobile Computing, 2022 | 15 | 2022 |
| Online scheduling algorithm for heterogeneous distributed machine learning jobs R Zhou, J Pang, Q Zhang, C Wu, L Jiao, Y Zhong, Z Li IEEE Transactions on Cloud Computing, 2022 | 14 | 2022 |
| DPS: Dynamic pricing and scheduling for distributed machine learning jobs in edge-cloud networks R Zhou, N Wang, Y Huang, J Pang, H Chen IEEE Transactions on Mobile Computing, 2022 | 7 | 2022 |
| Online scheduling algorithms for unbiased distributed learning over wireless edge networks J Pang, Z Han, R Zhou, H Tan, Y Cao Journal of Systems Architecture 131, 102673, 2022 | 5 | 2022 |
| Online scheduling unbiased distributed learning over wireless edge networks Z Han, R Zhou, J Pang, Y Cao, H Tan 2021 IEEE 27th International Conference on Parallel and Distributed Systems …, 2021 | 2 | 2021 |
| Fair Classifiers Without Fair Training: An Influence-Guided Data Sampling Approach J Pang, J Wang, Z Zhu, Y Yao, C Qian, Y Liu arXiv preprint arXiv:2402.12789, 2024 | | 2024 |
| Eris: An Online Auction for Scheduling Unbiased Distributed Learning Over Edge Networks J Pang, Z Han, R Zhou, R Zhang, JCS Lui, H Chen IEEE Transactions on Mobile Computing, 2023 | | 2023 |
| Incentivizing Data Collection from Heterogeneous Clients in Federated Learning J Pang, J Wei, C Qian, Y Liu | | 2023 |
