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cs.LG2025
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
Abhijit Chunduru, Majid Morafah, Mahdi Morafah +2
The inevitable presence of data heterogeneity has made federated learning very challenging. There are numerous methods to deal with this issue, such as local regularization, better…
cs.LG2024
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
Liangqi Yuan, Dong-Jun Han, Vishnu Pandi Chellapandi +2
Multimodal federated learning (FL) aims to enrich model training in FL settings where devices are collecting measurements across multiple modalities (e.g., sensors measuring pressu…