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University of Bologna Cesena
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Clustering clients based on local novelty signals can revolutionize federated learning by enabling efficient and autonomous collaboration without the need for extensive computational resources.
Customizable Distributed Particle Filtering can significantly enhance state estimation in heterogeneous IoT environments, balancing accuracy and communication efficiency.
