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Showing 1 to 7 of 7 for “"shared model"”.

  1. Scaling RDMA RPCs with FLOCK

    … provided reliable connection. Using a partially shared model, FLOCK departs from the conventional RDMA design by enabling connection sharing among threads, which provides significant performance improvements contrary to the widely held belief that connection sharing deteriorates performance. At …

    vt Repository record for Scaling RDMA RPCs with FLOCK (opens in a new tab)

  2. Images in motion?: a first look into video leakage in federated learning

    … (FL) allows multiple entities to train a shared model collaboratively. Its core, privacy-preserving principle is that participants only exchange model updates, such as gradients, and never their raw, sensitive data. This approach is fundamental for applications in domains where privacy and …

    colostate Repository record for Images in motion?: a first look into video leakage in federated learning (opens in a new tab)

  3. Statistical Learning with Discrete Structures: Statistical and Computational Perspectives

    … discrete structures (e.g., sparsity, low-rank, shared model parameters, etc)---they are appealing for their interpretability and compactness. However, learning with discrete structures can be computationally challenging. In this thesis, we explore statistical and computational aspects of …

    mit Repository record for Statistical Learning with Discrete Structures: Statistical and Computational Perspectives (opens in a new tab)

  4. School Reform: Leadership through Shared Decision-Making

    … often referred to as the restructuring movement. Shared decision making is one of the fundamental changes promoted by this current reform effort. Restructuring the decision-making process to include teachers and parents is a significant change from the hierarchical process that has been in place …

    usd-thes Repository record for School Reform: Leadership through Shared Decision-Making (opens in a new tab)

  5. Building Trustworthy Artificial Intelligence of Things Systems in Adversarial Environments

    … adversarial attacks on multimodal diffusion models, motivated by the growing popularity of generative AI technologies. In Chapter 4, we introduce our customized model inversion attack against the medical FL systems. Our attack can reconstruct sensitive real-life COVID-19 X-ray images, brain …

    vt Repository record for Building Trustworthy Artificial Intelligence of Things Systems in Adversarial Environments (opens in a new tab)

  6. Enhancing health equity in antidiabetic medication use and diabetes care outcomes through data science approaches

    … data-oriented analytical and machine learning models to enhance understanding of inequities in antidiabetic medication use and to promote more equitable and effective diabetes care. In the first study, we examined racial and geographic disparities in antidiabetic medication discontinuation …

    uiuc Repository record for Enhancing health equity in antidiabetic medication use and diabetes care outcomes through data science approaches (opens in a new tab)

  7. Sportovní badmintonové centrum, Čestlice

    … prováděcí dokumentace a vytvoření IFC modelů v rámci týmové spolupráce – BIM. Objekt Sportovního badmintonového centra, Čestlice se nachází na východní straně obce Čestlice, která se nachází za hranicí katastrálního území Hlavního města Prahy. Stavba se nachází v rozvojové oblasti obce …

    brno-tech Repository record for Sportovní badmintonové centrum, Čestlice (opens in a new tab)