Can FastICA separate sources without centralized whitening?
Distributed Blind Source Separation based on FastICA
This paper introduces DistrICA, a distributed algorithm for performing Independent Component Analysis (ICA) on data collected by a network of devices. ICA is used to separate individual source signals from a mixed signal, for example, isolating individual voices from a recording of a crowded room.
DistrICA is particularly relevant to LLM-based multi-agent systems because it allows each device in the network to process data locally and share only minimal information with other devices. This reduces communication overhead and allows for scalable processing of large datasets. Furthermore, each device can adapt its processing based on the received information, enabling flexible and dynamic multi-agent interactions.