Abstract: Differential privacy federated learning (DPFL) has garnered tremendous attentions for its ability to preserve clients’ privacy during model training. However, directly training multi-modal ...
Abstract: Many keypoint detection and description methods have been proposed for image matching or registration. While these methods demonstrate promising performance for single-modality image ...
Global pharma leaders, scientists, and innovators will gather in San Francisco from Nov 03–05, 2025, to explore transformative sessions. InnoPharm-2025 is a global stage where science meets innovation ...
Tumor Site–Specific Radiation-Induced Lymphocyte Depletion Models After Fractionated Radiotherapy: Considerations of Model Structure From an Aggregate Data Meta-Analysis Lymphocytes play critical ...
Competing with big box stores can often feel like trying to win the World Series with a rookie roster. The top players have massive networks, seemingly endless budgets, and delivery timelines that ...
Institutions should be thinking about how all kinds of learners fit into their learning environments and avoid viewing online and in-person courses as distinct environments, according to Stephanie ...
AI institutions develop heterogeneous models for specific tasks but face data scarcity challenges during training. Traditional Federated Learning (FL) supports only homogeneous model collaboration, ...
Robots are touching down in the United States and their first stop is the Town of North Hempstead. No, this isn’t the plot of “The Matrix” or “Blade Runner,” but rather the latest addition to the ...
Acquisition creates a world-class large-scale manufacturing hub in San Diego region with state-of-the-art aseptic facilities for prefilled syringes, cartridges and high potent formulations such as ...
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