Method Drift›Parameter-efficient fine-tuning (LoRA family)
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Shift-Dependent Asymmetry
Shift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical SegmentationParameter-efficient fine-tuning (LoRA family) · first seen Jun 7, 2026
current frontier — recent, not yet superseded in the knowledge base
0 papers critique it · 0 beat it on benchmarks
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Recent methods in the same sub-problem, not yet superseded in the knowledge base.
- Shift-Dependent AsymmetryShift-Dependent Asymmetry: Orthogonal Inverse Low-Rank Adaptation for Federated Medical SegmentationJun 7, 2026
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- Nov 23, 2025
- compute-efficient continual pre-training with LoRALow-Resource Dialect Adaptation of Large Language Models: A French Dialect Case-StudyOct 26, 2025
- personalized federated fine-tuning method with orthogonal LoRA adaptersPersonalized Federated Fine-Tuning of Vision Foundation Models for HealthcareOct 14, 2025
- FLoRA-NACommunication-Efficient and Accurate Approach for Aggregation in Federated Low-Rank AdaptationSep 30, 2025