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In this sense, random networks are vulnerable to random perturbations, whereas little-planet networks are robust. On the other hand, small-world networks are vulnerable to targeted attack of hubs, whereas random networks can not be targeted for catastrophic failure. A specific category of compact-world networks had been identified as a class of random graphs by Duncan Watts and Steven Strogatz in 1998. They noted that graphs could be classified according to two independent structural attributes, namely the clustering coefficient, and typical node-to-node distance .
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Experiments on these non-IID datasets demonstrate that LotteryFL significantly outperforms existing solutions in terms of personalization and communication price. The holy grail of winning tickets is to determine them as early as possible in the training procedure. Dettmers and Zettlemoyer11 propose a approach to determine winning tickets devoid of the need for highly-priced retraining. They exploit the momentum of the gradients to determine how quick weights modify in the course of training and prune these that do not adjust significantly. In addition, the values of pruned weights are redistributed dynamically.