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Parallel Fractional Stochastic Gradient Descent with Adaptive Learning for Recommender Systems

  • Published:2022 Issue: Volume: Page:1-14
  • ISSN:1045-9219
  • Container-title:IEEE Transactions on Parallel and Distributed Systems
  • language:
  • Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Elahi Fatemeh1,Fazlali Mahmood1ORCID,Malazi Hadi Tabatabaee2ORCID,Elahi Mehdi3

Affiliation:

1. Department of Computer, Data Sciences, Faculty of Mathematical Sciences, Shahid Beheshti University, Tehran, Iran

2. Department of Computer Science, Maynooth University, Maynooth, Ireland

3. Department of Information Science, Media Studies, University of Bergen, Bergen, Norway

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rational Jacobi Kernel Functions: A novel massively parallelizable orthogonal kernel for support vector machines;2024 Third International Conference on Distributed Computing and High Performance Computing (DCHPC);2024-05-14

2. A Gradient Tracking Protocol for Optimization Over Nabla Fractional Multi-Agent Systems;IEEE Transactions on Signal and Information Processing over Networks;2024

3. Stochastic Gradient Descent for matrix completion: Hybrid parallelization on shared- and distributed-memory systems;Knowledge-Based Systems;2024-01

4. Enhancing Privacy-Preserving Intrusion Detection through Federated Learning;Electronics;2023-08-08

5. LMI Stability Conditions for Nabla Fractional Order Systems with Order α ∈ (0,2);IEEE Transactions on Circuits and Systems II: Express Briefs;2023
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