Abstract is missing.
- Threats to Federated LearningLingjuan Lyu, Han Yu 0001, Jun Zhao 0007, Qiang Yang. 3-16 [doi]
- Deep Leakage from GradientsLigeng Zhu, Song Han 0003. 17-31 [doi]
- Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy AttacksLixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang. 32-50 [doi]
- Task-Agnostic Privacy-Preserving Representation Learning via Federated LearningAng Li, Huanrui Yang, Yiran Chen. 51-65 [doi]
- Large-Scale Kernel Method for Vertical Federated LearningZhiyuan Dang, Bin Gu, Heng Huang. 66-80 [doi]
- Towards Byzantine-Resilient Federated Learning via Group-Wise Robust AggregationLei Yu, Lingfei Wu. 81-92 [doi]
- Federated Soft Gradient Boosting Machine for Streaming DataJi Feng, Yi-Xuan Xu, Yong-Gang Wang, Yuan Jiang 0001. 93-107 [doi]
- Dealing with Label Quality Disparity in Federated LearningYiqiang Chen, Xiaodong Yang 0005, Xin Qin, Han Yu 0001, Piu Chan, Zhiqi Shen. 108-121 [doi]
- FedCoin: A Peer-to-Peer Payment System for Federated LearningYuan Liu, Zhengpeng Ai, Shuai Sun, Shuangfeng Zhang, Zelei Liu, Han Yu. 125-138 [doi]
- Efficient and Fair Data Valuation for Horizontal Federated LearningShuyue Wei, Yongxin Tong, Zimu Zhou, Tianshu Song. 139-152 [doi]
- A Principled Approach to Data Valuation for Federated LearningTianhao Wang 0013, Johannes Rausch, Ce Zhang, Ruoxi Jia, Dawn Song. 153-167 [doi]
- A Gamified Research Tool for Incentive Mechanism Design in Federated LearningZichen Chen, Zelei Liu, Kang Loon Ng, Han Yu, Yang Liu, Qiang Yang. 168-175 [doi]
- Budget-Bounded Incentives for Federated LearningAdam Richardson, Aris Filos-Ratsikas, Boi Faltings. 176-188 [doi]
- Collaborative Fairness in Federated LearningLingjuan Lyu, Xinyi Xu, Qian Wang, Han Yu. 189-204 [doi]
- A Game-Theoretic Framework for Incentive Mechanism Design in Federated LearningMingshu Cong, Han Yu, Xi Weng, Siu-Ming Yiu. 205-222 [doi]
- Federated Recommendation SystemsLiu Yang, Ben Tan, Vincent W. Zheng, Kai Chen, Qiang Yang. 225-239 [doi]
- Federated Learning for Open BankingGuodong Long, Yue Tan, Jing Jiang 0001, Chengqi Zhang. 240-254 [doi]
- Building ICU In-hospital Mortality Prediction Model with Federated LearningTrung Kien Dang, Kwan Chet Tan, Mark Choo, Nicholas Lim, Jianshu Weng, Mengling Feng. 255-268 [doi]
- Privacy-Preserving Stacking with Application to Cross-organizational Diabetes PredictionXiawei Guo, Quanming Yao, James T. Kwok, Wei-Wei Tu, Yuqiang Chen, Wenyuan Dai, Qiang Yang. 269-283 [doi]