This work provides a comprehensive overview of adaptive diffusion networks, from the first
papers published on the subject to state-of-the-art solutions and current challenges. These …

We consider the problem of learning a nonlinear function over a network of learners in a fully
decentralized fashion. Online learning is additionally assumed, where every learner …

We propose an adaptive scheme for distributed learning of nonlinear functions by a network
of nodes. The proposed algorithm consists of a local adaptation stage utilizing multiple …

In this paper, we investigate the problem of non-linear time-varying regression in a wireless
sensor network system. A field over an area is estimated using a number of fixed sensors …

We propose a hybrid dictionary approach for distributed kernel-based adaptive learning of a
nonlinear function by a network of nodes. The hybrid dictionary incorporates a local part to …

In this paper we propose a communication-efficient kernel-based learning method by means
of random-feature approximation and quantization. The proposed algorithm is named …