1. Abadi, M., et al.: Tensorflow: a system for large-scale machine learning. In: 12th USENIX Symposium on Operating Systems Design and Implementation (OSDI’16), pp. 265–283 (2016). https://www.usenix.org/system/files/conference/osdi16/osdi16-abadi.pdf
2. Alistarh, D., Grubic, D., Li, J., Tomioka, R., Vojnovic, M.: QSGD: communication-efficient SGD via gradient quantization and encoding (2017)
3. Alistarh, D., Hoefler, T., Johansson, M., Khirirat, S., Konstantinov, N., Renggli, C.: The convergence of sparsified gradient methods (2018)
4. Bouacida, N., Hou, J., Zang, H., Liu, X.: Adaptive federated dropout: improving communication efficiency and generalization for federated learning (2020)
5. Brouwer, A., Shearer, J., Sloane, N., Smith, W.: A new table of constant weight codes. IEEE Trans. Inf. Theory 36(6), 1334–1380 (1990). https://doi.org/10.1109/18.59932