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Found 2 papers, 1 papers with code
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
In recent years, federated learning (FL) has emerged as a promising technique for training machine learning models in a decentralized manner while also preserving data privacy.
Enhancing Congestion Control to Improve User Experience in IoT Using LSTM Network
The gathered data is used to create and train an LSTM network architecture specific to the IoT environment.
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