
Gunnar Wolf - Nice grey life
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Large language models (LLMs) have awed the world, emerging as the fastest-growing application of all time–ChatGPT reached 100 million active users in January 2023, just two months after its launch. After an initial cycle, they have gradually been mostly accepted and incorporated into various workflows, and their basic mechanics are no longer beyond the understanding of people with moderate computer literacy. Now, given that the technology is better understood, we face the question of how convenient LLM chatbots are for different occupations. This paper embarks on the question of whether LLMs can be useful for networking applications. This paper systematizes...


The current boom of artificial intelligence (AI) is based upon neural networks (NNs). In order for these to be useful, the network has to undergo a machine learning (ML) process: work over a series of inputs, and adjust the inner weights of the connections between neurons so that each of the data samples the network was trained on produces the right set of labels for each item. Federated learning (FL) appeared as a reaction given the data centralization power that traditional ML provides: instead of centrally controlling the whole training data, various different actors analyze disjoint subsets of data, and...





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