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Yuying Wang

2 accepted papers

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
2025

Resource-Constrained Federated Continual Learning: What Does Matter?

NeurIPS 2025poster

Federated Continual Learning (FCL) aims to enable sequential privacy-preserving model training on streams of incoming data that vary in edge devices by preserving previous knowledge while adapting to new data. Current FCL literature focuses on restricted data privacy and access to previously seen da…

Cited by 0SourceScholar