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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 9: AAAI-22 Technical Tracks 9

Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards

February 1, 2023

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Authors

Sebastian Shenghong Tay

National University of Singapore Institute for Infocomm Research, A*STAR


Xinyi Xu

National University of Singapore Institute for Infocomm Research, A*STAR


Chuan Sheng Foo

Institute for Infocomm Research, A*STAR


Bryan Kian Hsiang Low

National University of Singapore


DOI:

10.1609/aaai.v36i9.21177


Abstract:

This paper presents a novel collaborative generative modeling (CGM) framework that incentivizes collaboration among self-interested parties to contribute data to a pool for training a generative model (e.g., GAN), from which synthetic data are drawn and distributed to the parties as rewards commensurate to their contributions. Distributing synthetic data as rewards (instead of trained models or money) offers task- and model-agnostic benefits for downstream learning tasks and is less likely to violate data privacy regulation. To realize the framework, we firstly propose a data valuation function using maximum mean discrepancy (MMD) that values data based on its quantity and quality in terms of its closeness to the true data distribution and provide theoretical results guiding the kernel choice in our MMD-based data valuation function. Then, we formulate the reward scheme as a linear optimization problem that when solved, guarantees certain incentives such as fairness in the CGM framework. We devise a weighted sampling algorithm for generating synthetic data to be distributed to each party as reward such that the value of its data and the synthetic data combined matches its assigned reward value by the reward scheme. We empirically show using simulated and real-world datasets that the parties' synthetic data rewards are commensurate to their contributions.

Topics: AAAI

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HOW TO CITE:

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards Proceedings of the AAAI Conference on Artificial Intelligence (2022) 9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards AAAI 2022, 9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low (2022). Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. Proceedings of the AAAI Conference on Artificial Intelligence, 9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. 2022. Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. "Proceedings of the AAAI Conference on Artificial Intelligence". 9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. (2022) "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards", Proceedings of the AAAI Conference on Artificial Intelligence, p.9448-9456

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low, "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards", AAAI, p.9448-9456, 2022.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. "Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 9448-9456.

Sebastian Shenghong Tay||Xinyi Xu||Chuan Sheng Foo||Bryan Kian Hsiang Low. Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards. AAAI[Internet]. 2022[cited 2023]; 9448-9456.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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