RPG Seminar – Incentive Mechanism Design for Split Federated Learning
Abstract Split Federated Learning (SFL) combines computational efficiency with privacy preservation, but existing incentive mechanisms assume uniform cut-layer configurations across clients. This seminar presents a novel incentive mechanism that accounts […]