Context-Aware Dynamic Momentum for Asynchronous Federated Learning
Asynchronous Federated Learning (AFL) addresses the synchronization bottleneck of traditional federated learning by allowing clients to upload local model updates independently. However, asynchronous communication can result in stale updates, whose optimization information can become outdated in cases of heterogeneous...