no code implementations • 1 Feb 2022 • Jin-Hyun Ahn, Kyungsang Kim, Jeongwan Koh, Quanzheng Li
Federated learning (FL) has been intensively investigated in terms of communication efficiency, privacy, and fairness.
no code implementations • 3 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
no code implementations • 5 Jul 2019 • Jin-Hyun Ahn, Osvaldo Simeone, Joonhyuk Kang
Cooperative training methods for distributed machine learning typically assume noiseless and ideal communication channels.