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LoLaFL: Low-Latency Federated Learning via Forward-only Propagation
- Federated Learning (FL) is a popular approach for edge learning with distributed data while ensuring privacy.
- The traditional FL with deep neural networks trained via backpropagation is not suitable for low-latency learning in 6G mobile networks.
- To address this, Low-Latency Federated Learning (LoLaFL) via forward-only propagation is proposed.
- LoLaFL enables layer-wise transmissions and aggregation, significantly reducing latency with two nonlinear aggregation schemes.
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