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Real-time network-aware compression for efficient split learning in distributed systems
DOI:10.1016/j.jnca.2026.104555.png)
Abstract
En 中文
• Communication efficiency in split learning with a novel dynamic adaptable compression technique. • Compatibility with Multiple Architectures and SL-Based Techniques. • Validation in a Real Testbed and Extensive Network Performance Analysis.
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8
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3.6K
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1.1W

