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Abstract: Low-Rank Adaptation (LoRA) is a widely utilized technique in topic of Parameter-Efficient Transfer Learning (PETL) which could use a limited number of trainable parameters to adapt the model ...
Abstract: Quantum Federated Learning (QFL) recently becomes a promising approach with the potential to revolutionize Machine Learning (ML). It merges the established strengths of classical Federated ...
The January 2026 release of Visual Studio Code expands AI-assisted development with structured planning agents, parallel ...
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