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We propose a novel algorithm for performing federated learning with Echo State Networks (ESNs) in a client-server scenario. In particular, our proposal focuses on the adaptation of reservoirs by combining Intrinsic Plasticity with Federated Averaging. The former is a gradientbased method for adapting the reservoir's non-linearity in a local and unsupervised manner, while the latter provides the framework for learning in the federated scenario. We evaluate our approach on real-world datasets from human monitoring, in comparison with the previous approach for federated ESNs existing in literature. Results show that adapting the reservoir with our algorithm provides a significant improvement on the performance of the global model.

Artificial Intelligence and Machine Learning toolkits such as Scikit-learn, PyTorch and Tensorflow provide today a solid starting point for the rapid prototyping of R&D solutions. However, they can be hardly ported to heterogeneous decentralised hardware and real-world production environments. A common practice involves outsourcing deployment solutions to scalable cloud infrastructures such as Amazon SageMaker or Microsoft Azure. In this paper, we proposed an open-source microservices-based architecture for decentralised machine intelligence which aims at bringing R&D and deployment functionalities closer following a low-code approach. Such an approach would guarantee flexible integration of cutting-edge functionalities while preserving complete control over the deployed solutions at negligible costs and maintenance efforts.

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Recent research involving the architectural project seems to have brought attention to natural elements and phenomena, highlighting particular interest in the interpretation of the dynamic processes of the environment and of all its entities, plant and natural that inhabit it. In a logic of resilience, which should lead to limiting the consumption of resources, the action of replacing technological devices with natural mechanisms tested throughout natural history appears to be a losing battle right from the start. Yet man, in the past, has shown that he is able to give interpretations of nature that are not limited to a mechanistic replacement of the natural process, but which are based on the representation and reformulation of organisms in relation to matter and space. Space understood as an architectural essence, which from the relationship with nature gives back meaningful forms and experiences. The analysis of a series of case studies starting from the Lascaux caves up to the contemporary reinterpretations by Anton-Garcia Abril and Terunobu Fujimori demonstrate how nature can be an element of inspiration for innovative research in the field of design without necessarily embarking on a drift technological.

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