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Malekmohammadi, Saber

  1. Non-Parametric Graph Learning for Bayesian Graph Neural Networks
    2020/06/23 by Soumyasundar Pal, Saber Malekmohammadi, Pal, Soumyasundar +9 · 2 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. PePScenes: A Novel Dataset and Baseline for Pedestrian Action Prediction in 3D
    2020/12/14 by Rasouli, Amir, Yau, Tiffany, Lakner, Peter +3 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics (cs.RO)
  3. Proportional Fairness in Federated Learning
    2022/02/03 by Guojun Zhang, Zhang, Guojun, Saber Malekmohammadi +5 · 1 citation
    Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data
  4. Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
    2024/06/05 by Malekmohammadi, Saber, Yu, Yaoliang, Cao, Yang · 1 citation
    #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
  5. Differentially Private Clustered Federated Learning
    2024/05/29 by Saber Malekmohammadi, Afaf Taïk, Malekmohammadi, Saber +3 · 1 citation
    Computer Science · #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
  6. LoRA Provides Differential Privacy by Design via Random Sketching
    2024/09/26 by Saber Malekmohammadi, Malekmohammadi, Saber, Golnoosh Farnadi +1 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data