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Cooperative training methods for distributed machine learning typically assume noiseless and ideal communication channels.
1907
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F. Sattler, S. Wiedemann, K.-R. Müller, W. Samek, “Sparse binary compression: Towards distributed deep learning with minimal communication,” ArXiv e-prints
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G. Zhu, Y. Wang, and K. Huang, “Low-latency broadband analog aggregation for federated edge learning,” ArXiv e-prints
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Closest in time.
M. M. Amiri and D. Gündüz, “Machine learning at the wireless edge: Distributed stochastic gradient descent over-the-air,” ArXiv e-prints
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Closest in time.
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