lightbulbPractical problemPredictive Modeling, Behavior Inference, and Trend Estimation Methods
When slow devices participate in federated learning, training latency is high and personalized accuracy is poor.Sensing, Recognition, and Prediction Methods / Predictive Modeling, Behavior Inference, and Trend Estimation Methods
When slow devices participate in federated learning, training latency is high and personalized accuracy is poor.
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lightbulbPractical problemPredictive Modeling, Behavior Inference, and Trend Estimation Methods
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lightbulbPractical problemPredictive Modeling, Behavior Inference, and Trend Estimation Methods
Existing liquid identification technologies are costly, inaccurate, and poorly suited to everyday use.lightbulbPractical problemPredictive Modeling, Behavior Inference, and Trend Estimation Methods
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lightbulbPractical problemPredictive Modeling, Behavior Inference, and Trend Estimation Methods
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IoT devices cannot efficiently process heterogeneous data and large-scale model training, limiting federated learning applications.UbiComp '23Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
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