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GPFL: A Gradient Projection-Based Client Selection Framework for Efficient Federated Learning
Federated learning client selection is crucial for determining participant clients while balancing model accuracy and communication efficiency.
DVFL: A Vertical Federated Learning Method for Dynamic Data
To alleviate this problem, we propose a new vertical federation learning method, DVFL, which adapts to dynamic data distribution changes through knowledge distillation.
Data-driven Smart Ponzi Scheme Detection
To solve these problems, we propose a data-driven smart Ponzi scheme detection system in this paper.
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