Lightning Talks Session 1
Zhaohui Yang ⋅ Angel Navia-Vázquez ⋅ KUN LI ⋅ Hajime Ono ⋅ Yang Liu ⋅ Yuejiao Sun ⋅ Shahab Asoodeh ⋅ Chihoon Hwang ⋅ Romuald Menuet
2020 Talk
in
Workshop: Federated Learning for User Privacy and Data Confidentiality
in
Workshop: Federated Learning for User Privacy and Data Confidentiality
Abstract
- Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor and Shuguang Cui. Delay Minimization for Federated Learning Over Wireless Communication Networks
- Angel Navia Vázquez, Manuel-Alberto Vázquez-López and Jesús Cid-Sueiro. Double Confidential Federated Machine Learning Logistic Regression for Industrial Data Platforms
- Kun Li, Fanglan Zheng, Jiang Tian and Xiaojia Xiang. A Federated F-score Based Ensemble Model for Automatic Rule Extraction
- Hajime Ono and Tsubasa Takahashi. Locally Private Distributed Reinforcement Learning
- Yang Liu, Zhihao Yi and Tianjian Chen. Defending backdoor attacks in feature-partitioned collaborative learning
- Tianyi Chen, Xiao Jin, Yuejiao Sun and Wotao Yin. VAFL: a Method of Vertical Asynchronous Federated Learning
- Shahab Asoodeh and Flavio Calmon. Differentially Private Federated Learning: An Information-Theoretic Perspective
- Mathieu Andreux, Andre Manoel, Romuald Menuet, Charlie Saillard and Chloé Simpson. Federated Survival Analysis with Discrete-Time Cox Models
- Myungjae Shin, Chihoon Hwang, Joongheon Kim, Jihong Park, Mehdi Bennis and Seong-Lyun Kim. XOR Mixup: Privacy-Preserving Data Augmentation for One-Shot Federated Learning
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