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 | 17* | 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 | 13* | 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 |
Trading data with personalized differential privacy and partial arbitrage freeness S Zheng, Y Cao, M Yoshikawa arXiv preprint arXiv:2105.01651, 2021 | 5 | 2021 |
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 | 4 | 2023 |
Shall We Talk: Exploring Spontaneous Collaborations of Competing LLM Agents Z Wu, S Zheng, Q Liu, X Han, BI Kwon, M Onizuka, S Tang, R Peng, ... arXiv preprint arXiv:2402.12327, 2024 | 3 | 2024 |
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 | 2 | 2022 |
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 |
Using Differential Privacy to Define Personal, Anonymous and Pseudonymous Data T Huang, S Zheng IEEE Access, 2023 | | 2023 |
Studies on Privacy-Aware Data Trading S Zheng Kyoto University, 2023 | | 2023 |