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Found 2 papers, 1 papers with code
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models
This DIMAT paradigm presents a new opportunity for the future decentralized learning, enhancing its adaptability to real-world with sparse and light-weight communication and computation.
Active shooter detection and robust tracking utilizing supplemental synthetic data
The increasing concern surrounding gun violence in the United States has led to a focus on developing systems to improve public safety.
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