Distributed adaptive clustering learning over time-varying multitask networks

With increasing research on distributed processing in networks, adaptive learning strategies have gradually attracted researchers’ attention. The traditional adaptive learning strategy mainly aims at a single task unchanged over time, while real networks often entail multitasks scenarios with tasks that change over time. Furthermore, although cooperation among agents is beneficial for single task time-invariant networks, agents’ indiscriminate...