Shengyuan Hu

1. Ditto: Fair and Robust Federated Learning Through Personalization
   2020/12/08 by Tian Li, Shengyuan Hu, Li, Tian +5 · 51 citations
   Computer Science · #Cryptography and Data Security #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
2. Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign Relearning
   2024/06/19 by Shengyuan Hu, Yiwei Fu, Hu, Shengyuan +5 · 12 citations
   Engineering · Neuroscience · #Brain Tumor Detection and Classification #FOS: Computer and information sciences #Fire Detection and Safety Systems #Machine Learning (cs.LG)
3. On Privacy and Personalization in Cross-Silo Federated Learning
   2022/06/16 by Ziyu Liu, Liu, Ziyu, Shengyuan Hu +5 · 6 citations
   Computer Science · #Privacy-Preserving Technologies in Data
4. Position: LLM Unlearning Benchmarks are Weak Measures of Progress
   2024/10/03 by Pratiksha Thaker, Thaker, Pratiksha, Shengyuan Hu +9 · 8 citations
   Business, Management and Accounting · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Taxation and Legal Issues
5. FedSynth: Gradient Compression via Synthetic Data in Federated Learning
   2022/04/04 by Shengyuan Hu, Jack Goetz, Hu, Shengyuan +9 · 1 citation
   Computer Science · #Privacy-Preserving Technologies in Data