Task-Oriented Framework for Communication-Efficient Federated Learning: From Isolated Optimization to Holistic Synergy
This article presents an autonomous driving case study with two complementary experiments: a task-oriented client scheduling strategy that improves object detection accuracy under the same communication time budget, and a joint quantization-bandwidth optimization that further reduces total training time under dynamic n...