Talk
in
Workshop: Federated Learning for User Privacy and Data Confidentiality
Technical Talks Session 1
Ishika Singh · Laura Rieger · Rasmus Høegh · Hanlin Lu · Wonyong Jeong
Abstract:
- Wonyong Jeong, Jaehong Yoon, Eunho Yang and Sung Ju Hwang. Federated Semi-Supervised Learning with Inter-Client Consistency
- Ishika Singh, Haoyi Zhou, Kunlin Yang, Meng Ding, Bill Lin and Pengtao Xie. Differentially-private Federated Neural Architecture Search
- Laura Rieger, Rasmus Malik Thaarup Høegh and Lars Kai Hansen. Client Adaptation improves Federated Learning with Simulated Non-IID Clients
- Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang and Kevin S. Chan. Sharing Models or Coresets: A Study based on Membership Inference Attack
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