FedMChain improves multimodal federated learning by chaining modality-wise optimization phases with error-compensated regularization and sparse sign-guided aggregation to mitigate modality competition and cut communication overhead.
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Boosting Multimodal Federated Learning via Chained Modality Optimization
FedMChain improves multimodal federated learning by chaining modality-wise optimization phases with error-compensated regularization and sparse sign-guided aggregation to mitigate modality competition and cut communication overhead.