Author:
Wu Hao,Zhao Shengnan,Zhao Chuan,Jing Shan
Publisher
Springer Nature Singapore
Reference30 articles.
1. Ali, M., Karimipour, H., Tariq, M.: Integration of blockchain and federated learning for internet of things: recent advances and future challenges. Comput. Security 108, 102355 (2021)
2. Chen, D., Orekondy, T., Fritz, M.: Gs-wgan: a gradient-sanitized approach for learning differentially private generators. Adv. Neural. Inf. Process. Syst. 33, 12673–12684 (2020)
3. Chen, D., Yu, N., Zhang, Y., Fritz, M.: Gan-leaks: A taxonomy of membership inference attacks against generative models. In: Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security, pp. 343–362 (2020)
4. Collins, L., Hassani, H., Mokhtari, A., Shakkottai, S.: Exploiting shared representations for personalized federated learning. In: International Conference on Machine Learning, pp. 2089–2099. PMLR (2021)
5. Du, Y., et al.: Blockchain-aided edge computing market: smart contract and consensus mechanisms. IEEE Transactions on Mobile Computing (2022)