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Stochastic Gradient Optimization Techniques

Работ: 9

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

    Maria Lapina, Egor Shiriaev, Mikhail Babenko +1

    СтатьяCryptography and Data SecurityProgramming and Computer Software2024Цитирований: 0
    ABI

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

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

    СтатьяStochastic Gradient Optimization TechniquesZenodo (CERN European Organization for Nuclear Research)2025Цитирований: 0
    ABI

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

    Niladri Maiti, Riddhi Chawla, Babacar Toure +2

    СтатьяPrivacy-Preserving Technologies in Data2025Цитирований: 0
    ABI

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

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

    СтатьяModel Reduction and Neural Networks2025Цитирований: 0
    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

    СтатьяStochastic Gradient Optimization TechniquesCurrent Research in Biotechnology2026Цитирований: 0
    ABI

  6. Optimized Cluster Head Selection with Enhanced Energy Efficiency

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

    СтатьяAdvanced Clustering Algorithms Research2026Цитирований: 0
    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 MIND2026Цитирований: 0
    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)2026Цитирований: 0
    ABI

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

    Makhamadamin Abrolbekov

    ПрепринтStochastic Gradient Optimization TechniquesSSRN Electronic Journal2026Цитирований: 0
    ABI