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Found 3 papers, 1 papers with code
Communication-Efficient and Drift-Robust Federated Learning via Elastic Net
Federated learning (FL) is a distributed method to train a global model over a set of local clients while keeping data localized.
Improved Input Reprogramming for GAN Conditioning
Motivated by real-world scenarios with scarce labeled data, we focus on the input reprogramming approach and carefully analyze the existing algorithm.
Beliefs in Decision-Making Cascades
In addition, the agents have their own beliefs instead of the true prior, and have nonidentical noise variances in the private signal.
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