FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching

Haoran Zhang, Cainã Figueiredo Pereira, Marie Siew +3

Federated learning (FL) is often subject to aggregation variance if clients do not consistently participate in training rounds. While reusing stale model updates from inactive clie…