The 1st International Workshop on Federated Machine Learning for User Privacy and Data Confidentiality (FML 2019)

 

Date: Monday, 12 Aug, 2019

Venue: Venetian Macau (Room 2506)

Programme

08:00 – 08:30

Arrival and Registration

08:30 – 08:45

Opening Address

Prof Qiang Yang

08:45 – 09:25 Keynote 1: Enterprise Context Federated Learning: Challenges and Approaches

Dr Shahrokh Daijavad

09:25 – 10:30

Lightning Talks 1 (5 minutes each, 13 talks)

 

1.      Yu Liu, Chi Zhang, Yuehu Liu, Le Wang, Li Li and Nanning Zheng. Joint Intelligence Ranking by Federated Gradient Descent

2.      Guan Wang. Interpret Federated Learning with Shapley Values

3.      Yifei Zhang and Hao Zhu. Deep Neural Network for Collaborative Machine Learning with Additively Homomorphic Encryption

4.      Kun Zhao, Haoyuan Zheng, Wei Xi, Zhi Wang, Wei Shi, Liang Lin and Jizhong Zhao. SFL: Secure Federated Learning based on Jaccard Coefficient Threshold

5.      Han Cha, Jihong Park, Hyesung Kim, Seong-Lyun Kim and Mehdi Bennis. Federated Reinforcement Distillation with Proxy Experience Memory

6.      Chenghao Hu, Jingyan Jiang and Zhi Wang. Decentralized Federated Learning: A Segmented Gossip Approach

7.      Yang Liu, Xiong Zhang, Shuqi Qin and Xiaoping Lei. Distributed Privacy–Preserving Iterative Summation Protocols

8.      Shudong Huang, Wei Shi, Zenglin Xu and Ivor Tsang. Iterative Orthogonal Federated Multi-view Learning

9.      Jiyue Huang, Maoyu Du, Kai Lei and Hongting Zhao. Attention-Based Updates Aggregation in Federated Learning

10.   Lei Song, Chunguang Ma and Yun Zhang. Privacy-preserving Transfer Learning

11.   Guanyu Lin, Feng Liang, Weike Pan and Zhong Ming. A General Federated Collaborative Rating Prediction Framework for Privacy-Aware Recommendation

12.   Yang Liu, Mixngin Chen, Ruiyuan Li, Yanment Lu, Changbin Lu, Jiandong Gao, Junbo Zhang and Yu Zheng. Federated Learning with Digital Gateway: Methodologies, Tools and Applications

13.   Mengwei Yang, Linqi Song, Jie Xu, Congduan Li and Guozhen Tan. The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost

10:30 – 10:45

Tea Break

(Lightning Talk Sessions 1 & 2 authors to set up posters at Hall A)

10:45 – 11:30

Session 1: Privacy, Security and Robustness I (3 talks, 15 minutes each)

1.      Aleksei Triastcyn and Boi Faltings. Federated Generative Privacy

2.      Yexuan Shi, Zhiyang Su, Di Jiang, Zimu Zhou, Wenbin Zhang and Yongxin Tong. Semantic Consistent Topic Discovery with Differential Privacy

3.      Yang Liu, Yan Kang, Han Yu, Tianjian Chen and Qiang Yang. Secure Federated Transfer Learning

11:30 – 12:00

Lightning Talks 2 (5 min each, 6 talks)

1.      Qinbin Li, Bingsheng He and Zeyi Wen. Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection

2.      Bo Li, Kele Xu, Haibo Mi, Dawei Feng, Huaimin Wang and Yanbo J. Wang. Multi-task Learning for Vertical Federated Machine Learning: A Case Study For Cross-Lingual Short-Text Matching

3.      Shengwen Yang, Bing Ren, Xuhui Zhou and Liping Liu. Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator

4.      Fuyong Zhang, Yi Wang and Kuan Li. Decision-Based Evasion Attacks to Random Forest Ensembles

5.      Lingwei Kong, Jianzong Wang, Zhangcheng Huang, Anxun He, Linjie Chen, Man Zhang and Jing Xiao. A Federated Learning Schema with Additive Homomorphic Encryption

6.      Jinming Cui, Huaping Li and Meng Yang. Privacy-Preserving Computation over Genetic Data: HLA Matching and so on

12:00 – 13:30

Lunch Break

(Lightning Talk Sessions 1 & 2 authors to showcase posters at Hall A)

13:30 – 14:10 Keynote 2: Federated Learning from Research to Practice

Dr Jakub Konečný

14:10 – 14:55

Session 2: Efficiency, Communication and Infrastructure (3 talks, 15 minutes each)

1.      Qinghe Jing, Weiyan Wang, Junxue Zhang, Han Tian and Kai Chen. Quantifying the Performance of Federated Transfer Learning

2.      Eunjeong Jeong, Seungeun Oh, Jihong Park, Hyesung Kim, Mehdi Bennis and Seong-Lyun Kim. Multi-Hop Federated Private Data Augmentation with Sample Compression

3.      Ruihui Zhao, Mizuho Iwaihara, Xiaodong He and Shunnan Xu. A Lightweight Efficient Searchable Encryption Scheme using Supervised Sentence Representations

14:55 – 15:40

Session 3: Privacy, Security and Robustness II (3 talks, 15 minutes each)

1.      Di Chai, Leye Wang, Kai Chen and Qiang Yang. Secure Federated Matrix Factorization

2.      Kewei Cheng, Tao Fan, Yilun Jin, Yang Liu, Tianjian Chen and Qiang Yang. SecureBoost: A Lossless Federated Learning Framework

3.      Huadi Zheng, Haibo Hu and Han Ziyang. Preserving User Privacy For Machine Learning: Local Differential Privacy or Federated Machine Learning?

15:40 – 16:00

Tea Break

(Lightning Talk Sessions 1 & 2 authors to take down posters at Hall A)

16:00 – 16:45

Session 4: Mechanism, Policy and Applications (3 talks, 15 minutes each)

1.       Adam Richardson, Aris Filos-Ratsikas and Boi Faltings. Eliciting High-Quality Data via Influence for Linear Regression

2.       Mingshu Cong, Xi Weng, Han Yu and Zhongming Qu. FML Incentive Mechanism Design: Concepts, Basic Settings, and Taxonomy

3.       Yiqiang Chen, Jindong Wang and Chaohui Yu. FedHealth: A Federated Transfer Learning Framework for Wearable Healthcare

16:45 – 17:15

Panel Discussion

17:15 – 17:45

Award Ceremony and Closing