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Found 3 papers, 1 papers with code
Federated Skewed Label Learning with Logits Fusion
By fusing the logits of the two models, the private weak learner can capture the variance of different data, regardless of their category.
Managed Geo-Distributed Feature Store: Architecture and System Design
Companies are using machine learning to solve real-world problems and are developing hundreds to thousands of features in the process.
Knowledge Distillation in Federated Edge Learning: A Survey
The increasing demand for intelligent services and privacy protection of mobile and Internet of Things (IoT) devices motivates the wide application of Federated Edge Learning (FEL), in which devices collaboratively train on-device Machine Learning (ML) models without sharing their private data.
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