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Stochastic Gradient Optimization Techniques

9 та иш

  1. High-Speed Convolution Core Architecture for Privacy-Preserving Neural Networks

    Maria Lapina, Egor Shiriaev, Mikhail Babenko +1

    МақолаCryptography and Data SecurityProgramming and Computer Software20240 иқтибос
    ABI

  2. NeuroConstellation: Real-time Visualisation and Analysis of Million-Neuron Datasets Using Game Engine Technology

    Mirani, Safeer Ali, Memon, Pirah, ENRICO, Paolo +2

    МақолаStochastic Gradient Optimization TechniquesZenodo (CERN European Organization for Nuclear Research)20250 иқтибос
    ABI

  3. Federated Learning for Collaborative Dental Diagnosis Across Hospitals Without Compromising Privacy

    Niladri Maiti, Riddhi Chawla, Babacar Toure +2

    МақолаPrivacy-Preserving Technologies in Data20250 иқтибос
    ABI

  4. A Machine Learning-Based Data-Driven Optimisation Approach for Solving Differential Equations

    Mariyam Ahmed, YusufjanovUlugbekJavlonUgli, K.S. Bhuvaneshwari +3

    МақолаModel Reduction and Neural Networks20250 иқтибос
    ABI

  5. Stochastic optimization of Gradient Boosting Decision Trees for interpretable prediction of heavy metal adsorption onto biochar

    Mahran Al-Zyoud, Salama A. Mostafa, Ibrahim Khersan +6

    МақолаStochastic Gradient Optimization TechniquesCurrent Research in Biotechnology20260 иқтибос
    ABI

  6. Optimized Cluster Head Selection with Enhanced Energy Efficiency

    D. Angeline Ranjithamani, R. S. Rajesh, Christo Ananth

    МақолаAdvanced Clustering Algorithms Research20260 иқтибос
    ABI

  7. Investigating the Impact of Soft Errors in GPU-accelerated Sparse DNNs

    Mohammad Hasan Ahmadilivani, Josie E. Rodriguez Condia, Maksim Jenihhin +1

    ПрепринтParallel Computing and Optimization TechniquesOpen MIND20260 иқтибос
    ABI

  8. Investigating the Impact of Soft Errors in GPU-accelerated Sparse DNNs

    Mohammad Hasan Ahmadilivani, Josie E. Rodriguez Condia, Maksim Jenihhin +1

    ПрепринтParallel Computing and Optimization TechniquesZenodo (CERN European Organization for Nuclear Research)20260 иқтибос
    ABI

  9. High Probability Convergence Bounds for Non-convex Stochastic Gradient Descent with Sub-Weibull Noise

    Makhamadamin Abrolbekov

    ПрепринтStochastic Gradient Optimization TechniquesSSRN Electronic Journal20260 иқтибос
    ABI