| FL-market: Trading private models in federated learning S Zheng, Y Cao, M Yoshikawa, H Li, Q Yan 2022 IEEE International Conference on Big Data (Big Data), 1525-1534, 2022 | 23* | 2022 |
| Secure Shapley Value for Cross-Silo Federated Learning S Zheng, Y Cao, M Yoshikawa Proceedings of the VLDB Endowment 16 (7), 1657-1670, 2023 | 17* | 2023 |
| Money cannot buy everything: Trading mobile data with controllable privacy loss S Zheng, Y Cao, M Yoshikawa 2020 21st IEEE International Conference on Mobile Data Management (MDM), 29-38, 2020 | 12 | 2020 |
| Diversity-oriented route planning for tourists WK Kong, S Zheng, ML Nguyen, Q Ma International Conference on Database and Expert Systems Applications, 243-255, 2022 | 7 | 2022 |
| Shall We Team Up: Exploring Spontaneous Cooperation of Competing LLM Agents Z Wu, BI Kwon, S Zheng, Q Liu, X Han, M Onizuka, S Tang, R Peng, ... Agentic Markets Workshop at ICML 2024, 2024 | 6* | 2024 |
| Smart agent-based modeling: On the use of large language models in computer simulations Z Wu, R Peng, X Han, S Zheng, Y Zhang, C Xiao arXiv preprint arXiv:2311.06330, 2023 | 6 | 2023 |
| Trading data with personalized differential privacy and partial arbitrage freeness S Zheng, Y Cao, M Yoshikawa arXiv preprint arXiv:2105.01651, 2021 | 6 | 2021 |
| Using Differential Privacy to Define Personal, Anonymous and Pseudonymous Data T Huang, S Zheng IEEE Access, 2023 | 1 | 2023 |
| Privacy-Enhanced Database Synthesis for Benchmark Publishing Y Zhong, Y Ge, J Qin, S Zheng, B Tang, YX Qiu, R Mao, Y Yuan, ... arXiv preprint arXiv:2405.01312, 2024 | | 2024 |
| 差分プライバシー技術の法的課題—米国国勢調査における実用化を素材として— 小西葉子， 芝池亮弥， 鄭舒元， 曹洋， 吉川正俊 情報ネットワーク・ローレビュー 22, 1-23, 2023 | | 2023 |
Masatoshi YoshikawaOsaka Seikei University在 osaka-seikei.ac.jp 的电子邮件经过验证
