Abstract: Federated learning (FL) has emerged as a pivotal approach for edge-based distributed machine learning, yet it faces significant challenges due to the constrained capacities and heterogeneity ...
It’s a familiar moment in math class—students are asked to solve a problem, and some jump in confidently while others freeze, unsure where to begin. When students don’t yet have a clear mental model ...
Abstract: Motion Infrared Small Target Detection (MIRSTD) leverages multi-frame temporal dependencies to improve detection robustness. However, existing methods have difficulty modeling global ...
Every time someone orders food online, checks exam results, or streams a video, new data is created and saved. Behind these activities are large databases that store millions of records. These ...
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