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Xinyi Xu
Tytuł
Cytowane przez
Cytowane przez
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Collaborative fairness in federated learning
L Lyu, X Xu, Q Wang, H Yu
Federated Learning: Privacy and Incentive, 189-204, 2020
2442020
Gradient driven rewards to guarantee fairness in collaborative machine learning
X Xu, L Lyu, X Ma, C Miao, CS Foo, BKH Low
Advances in Neural Information Processing Systems 34, 16104-16117, 2021
892021
A reputation mechanism is all you need: Collaborative fairness and adversarial robustness in federated learning
X Xu, L Lyu
Proc. ICML Workshop on Federated Learning for User Privacy and Data …, 2021
862021
Validation free and replication robust volume-based data valuation
X Xu, Z Wu, CS Foo, BKH Low
Advances in Neural Information Processing Systems 34, 10837-10848, 2021
732021
Data Valuation in Machine Learning: "Ingredients", Strategies, and Open Challenges
RHL Sim, X Xu, BKH Low.
31st International Joint Conference on Artificial Intelligence (IJCAI-22), 2022
652022
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
SS Tay, X Xu, CS Foo, BKH Low
36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022
512022
Towards building a robust and fair federated learning system
X Xu, L Lyu
arXiv preprint arXiv:2011.10464, 16, 2020
452020
FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific Discovery
X Xu, Z Wu, A Verma, CS Foo, BKH Low
26th International Conference on Artificial Intelligence and Statistics …, 2023
132023
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
L Agussurja, X Xu, BKH Low
39th International Conference on Machine Learning 162, 180-196, 2022
132022
Fair yet Asymptotically Equal Collaborative Learning
X Lin, X Xu, SK Ng, CS Foo, BKH Low
40th International Conference on Machine Learning (ICML-23), 2023
122023
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
112023
Incentives in Private Collaborative Machine Learning
RHL Sim, Y Zhang, TN Hoang, X Xu, BKH Low, P Jaillet
Advances in Neural Information Processing Systems 36: 37th Annual Conference …, 2023
72023
Hierarchical Reinforcement Learning in StarCraft II with Human Expertise in Subgoals Selection
X Xu, T Huang, P Wei, A Narayan, TY Leong
Proceedings of the 1st Workshop on Bridging the Gap Between AI Planning and …, 2020
72020
Collaborative causal inference with fair incentives
R Qiao, X Xu, BKH Low
40th International Conference on Machine Learning (ICML-23), 2023
62023
Model Shapley: Equitable Model Valuation with Black-box Access
X Xu, T Lam, CS Foo, BKH Low
Advances in Neural Information Processing Systems 36: 37th Annual Conference …, 2023
52023
Distributionally Robust Data Valuation
X Lin, X Xu, Z Wu, SK Ng, BKH Low
Forty-first International Conference on Machine Learning, 2024
32024
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
22024
Position Paper: Data-Centric AI in the Age of Large Language Models
X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ...
Findings of the Association for Computational Linguistics: EMNLP 2024, 11895 …, 2024
12024
Data-Centric AI in the Age of Large Language Models
X Xu, Z Wu, R Qiao, A Verma, Y Shu, J Wang, X Niu, Z He, J Chen, Z Zhou, ...
Proceedings of the 2024 Empirical Methods in Natural Language Processing …, 2024
12024
DETAIL: Task DEmonsTration Attribution for Interpretable In-context Learning
Z Zhou, X Lin, X Xu, A Prakash, D Rus, BKH Low
Advances in Neural Information Processing Systems 37: 38th Annual Conference …, 2024
12024
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