Search Results for author: Jin-Hyun Ahn

Found 3 papers, 0 papers with code

Cooperative Learning via Federated Distillation over Fading Channels

no code implementations3 Feb 2020 Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang

Cooperative training methods for distributed machine learning are typically based on the exchange of local gradients or local model parameters.

Signal Processing Distributed, Parallel, and Cluster Computing Information Theory Information Theory

Wireless Federated Distillation for Distributed Edge Learning with Heterogeneous Data

no code implementations5 Jul 2019 Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang

Cooperative training methods for distributed machine learning typically assume noiseless and ideal communication channels.

BIG-bench Machine Learning Federated Learning

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