| Collaborative machine learning with incentive-aware model rewards RHL Sim, Y Zhang, MC Chan, BKH Low International conference on machine learning, 8927-8936, 2020 | 114 | 2020 |
| Data Valuation in Machine Learning:" Ingredients", Strategies, and Open Challenges. RHL Sim, X Xu, BKH Low IJCAI, 5607-5614, 2022 | 34 | 2022 |
| Collaborative Bayesian optimization with fair regret RHL Sim, Y Zhang, BKH Low, P Jaillet International Conference on Machine Learning, 9691-9701, 2021 | 25 | 2021 |
| Probably approximate Shapley fairness with applications in machine learning Z Zhou, X Xu, RHL Sim, CS Foo, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 37 (5), 5910-5918, 2023 | 7 | 2023 |
| Incentives in private collaborative machine learning R Sim, Y Zhang, N Hoang, X Xu, BKH Low, P Jaillet Advances in Neural Information Processing Systems 36, 2024 | 1 | 2024 |
| DeRDaVa: Deletion-Robust Data Valuation for Machine Learning X Tian, RHL Sim, J Fan, BKH Low Proceedings of the AAAI Conference on Artificial Intelligence 38 (14), 15373 …, 2024 | | 2024 |
| Data valuation in federated learning Z Wu, X Xu, RHL Sim, Y Shu, X Lin, L Agussurja, Z Dai, SK Ng, CS Foo, ... Federated Learning, 281-296, 2024 | | 2024 |
| Incentives in federated learning RHL Sim, SS Tay, X Xu, Y Zhang, Z Wu, X Lin, SK Ng, CS Foo, P Jaillet, ... Federated Learning, 299-309, 2024 | | 2024 |
| Fairness in federated learning X Lin, X Xu, Z Wu, RHL Sim, SK Ng, CS Foo, P Jaillet, TN Hoang, ... Federated Learning, 143-160, 2024 | | 2024 |
