Guosong Jiang

Socialized Division and Collaboration: Rethinking Class-Incremental Learning under Optimization Conflicts

This work proposes Socialized Division and Collaboration as a reformulation of continual learning that decomposes session learning across specialized models in response to optimization conflicts, while enabling coordinated collaboration and introduces an energy-based session-model compatibility criterion grounded in Helmholtz free energy.