Ali Ramezani-Kebrya

1. Adaptive Gradient Quantization for Data-Parallel SGD
   2020/10/23 by Fartash Faghri, Faghri, Fartash, Iman Tabrizian +9 · 7 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques
2. Federated Learning under Covariate Shifts with Generalization Guarantees
   2023/06/08 by Ali Ramezani-Kebrya, Ramezani-Kebrya, Ali, Fanghui Liu +7 · 4 citations
   Computer Science · Social Sciences · #FOS: Computer and information sciences #Health disparities and outcomes #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
3. On the Generalization of Stochastic Gradient Descent with Momentum
   2018/09/12 by Ali Ramezani-Kebrya, Ramezani-Kebrya, Ali, Antonakopoulos, Kimon +3 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
4. NUQSGD: Provably Communication-efficient Data-parallel SGD via Nonuniform Quantization
   2019/08/16 by Ali Ramezani-Kebrya, Fartash Faghri, Ramezani-Kebrya, Ali +9 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stochastic Gradient Optimization Techniques
5. MixTailor: Mixed Gradient Aggregation for Robust Learning Against Tailored Attacks
   2022/07/16 by Ali Ramezani-Kebrya, Ramezani-Kebrya, Ali, Iman Tabrizian +5 · 1 citation
   Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques