Two papers propose new methods for federated class-incremental learning

The first paper, SUM, introduces geometric surgery on spatio-temporal adaptation vectors to address capacity conflict and catastrophic forgetting in FCIL. The second paper proposes Fisher-Routed Mixture of Experts to handle shared capacity and forgetting. Both aim to improve continual learning in federated settings.