FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition

doi:10.1371/journal.pone.0342953

FedEmoNet: Privacy-preserving federated learning with TCN-Transformer fusion for cross-corpus speech emotion recognition

Fig 2

FedProx-based federated learning protocol.

The global server maintains model and performs weighted aggregation. Each client receives the broadcast global model, performs local training, and sends updated parameters. The privacy boundary ensures raw data never leaves the client. The global test set is held out before client distribution.

doi: https://doi.org/10.1371/journal.pone.0342953.g002