Wenchao Xu*

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

"Selecting proper clients to participate in each federated learning (FL) round is critical to effectively harness a broad range of distributed data. Existing client selection methods simply consider the mining of distributed uni-modal data, yet, their effectiveness may diminish in multi-modal FL (MF…