1. Battiti, R. (1992). First- and second-order methods for learning: Between steepest descent and Newton’s method. Neural Computation, 4(2), 141–166. doi: 10.1162/neco.1992.4.2.141 .
2. Brunner, M., Dudkowski, D., Mingardi, C., & Nunzi, G. (2009). Probabilistic decentralized network management. In IFIP/IEEE international symposium on integrated network management, 2009. IM ’09 (pp. 25–32). doi: 10.1109/INM.2009.5188783 .
3. Chen, T., Li, M., Li, Y., Lin, M., Wang, N., Wang, M., Xiao, T., Xu, B., Zhang, C., & Zhang, Z. (2015). Mxnet: A flexible and efficient machine learning library for heterogeneous distributed systems. arXiv: 1512.01274 .
4. Chu, C.t., Kim, S.K., Lin, Y.a., Yu, Y., Bradski, G., Olukotun, K., & Ng, A.Y. (2007). Map-reduce for machine learning on multicore. In Schölkopf, B., Platt, J., & Hoffman, T. (Eds.) Advances in neural information processing systems, (Vol. 19 pp. 281–288): MIT Press. http://papers.nips.cc/paper/3150-map-reduce-for-machine-learning-on-multicore.pdf .
5. Cohen, B. (2003). Incentives build robustness in bittorrent. In Workshop on economics of peer-to-peer systems (Vol. 6, pp. 68–72).