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Haddadpour, Farzin

  1. Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization
    2019/10/30 by Farzin Haddadpour, Mohammad Mahdi Kamani, Haddadpour, Farzin +5 · 12 citations
    Computer Science · Physics and Astronomy · #Chaos control and synchronization #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Nonlinear Dynamics and Pattern Formation #Parallel #Reinforcement Learning in Robotics #and Cluster Computing (cs.DC)
  2. Federated Learning with Compression: Unified Analysis and Sharp Guarantees
    2020/07/02 by Haddadpour, Farzin, Kamani, Mohammad Mahdi, Mokhtari, Aryan +1 · 9 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  3. On the Optimal Recovery Threshold of Coded Matrix Multiplication
    2018/01/31 by Dutta, Sanghamitra, Fahim, Mohammad, Haddadpour, Farzin +3 · 4 citations
    #Distributed #FOS: Computer and information sciences #Information Theory (cs.IT) #Parallel #and Cluster Computing (cs.DC)
  4. On the Convergence of Local Descent Methods in Federated Learning
    2019/10/31 by Haddadpour, Farzin, Mahdavi, Mehrdad · 4 citations
    #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #and Cluster Computing (cs.DC)
  5. FedSKETCH: Communication-Efficient and Private Federated Learning via Sketching
    2020/08/11 by Farzin Haddadpour, Belhal Karimi, Haddadpour, Farzin +5 · 3 citations
    Computer Science · #Privacy-Preserving Technologies in Data #Cryptography and Data Security #Stochastic Gradient Optimization Techniques
  6. Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
    2022/04/26 by Konstantinos E. Nikolakakis, Nikolakakis, Konstantinos E., Farzin Haddadpour +5 · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  7. Efficient Fair Principal Component Analysis
    2019/11/12 by Kamani, Mohammad Mahdi, Haddadpour, Farzin, Forsati, Rana +1 · 1 citation
    #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)