KM news
On March 10, 2026, researchers at the University of Toronto and the Vector Institute published a breakthrough study in Nature Machine Intelligence detailing "Federated Knowledge Distillation" (FKD). This framework enables large--scale organizations to synchronize knowledge across decentralized, global departments without compromising data privacy or violating cross--border data sovereignty laws. By utilizing a decentralized training protocol, FKD allows individual business units to contribute to a collective "Organizational Intelligence Model" through the exchange of encrypted model weights rather than raw data, effectively bridging the gap between global knowledge integration and local data security.