How do you design clustering systems with global model synchronization across multiple clusters?

Global synchronization uses periodic aggregation of local cluster models into a unified global representation.

In distributed environments, each region or cluster may compute local clustering models. These are periodically synchronized into a global model using weighted averaging or hierarchical merging. Challenges include latency, inconsistency, and conflicting updates. Systems often use asynchronous updates with eventual convergence guarantees.