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Tianzhe Xiao

2 accepted papers

2025

Enhancing Privacy in Multimodal Federated Learning with Information Theory

NeurIPS 2025poster

Multimodal federated learning (MMFL) has gained increasing popularity due to its ability to leverage the correlation between various modalities, meanwhile preserving data privacy for different clients. However, recent studies show that correlation between modalities increase the vulnerability of fed…

Cited by 0SourceScholar
2025

FedSSI: Rehearsal-Free Continual Federated Learning with Synergistic Synaptic Intelligence

ICML 2025spotlight

Continual Federated Learning (CFL) allows distributed devices to collaboratively learn novel concepts from continuously shifting training data while avoiding \textit{knowledge forgetting} of previously seen tasks. To tackle this challenge, most current CFL approaches rely on extensive rehearsal of p…

Cited by 0SourcePDFScholar