On the dynamics of multi agent nonlinear filtering and learning

Sayed Pouria Talebi; Danilo Mandic

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arXiv · 2309.03557

On the dynamics of multi agent nonlinear filtering and learning

Sayed Pouria Talebi·Danilo Mandic

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Abstract

Multiagent systems aim to accomplish highly complex learning tasks through decentralised consensus seeking dynamics and their use has garnered a great deal of attention in the signal processing and computational intelligence societies. This article examines the behaviour of multiagent networked systems with nonlinear filtering/learning dynamics. To this end, a general formulation for the actions of an agent in multiagent networked systems is presented and conditions for achieving a cohesive learning behaviour is given. Importantly, application of the so derived framework in distributed and federated learning scenarios are presented.

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Sayed Pouria Talebi, Danilo Mandic. 2023-09-07. On the dynamics of multi agent nonlinear filtering and learning. https://arxiv.org/abs/2309.03557

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