HyEm maps radius-controlled hyperbolic ontology embeddings to Euclidean space for ANN indexing and applies query-adaptive hyperbolic reranking to improve hierarchy-aware retrieval while preserving most Euclidean performance on flat queries.
A survey on federated unlearning: Challenges, methods, and future directions,
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A priority-aware learning-unlearning framework with orthogonal LoRA enables robust correction for device join/leave events in dynamic decentralized federated LLM fine-tuning.
citing papers explorer
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HyEm: Query-Adaptive Hyperbolic Retrieval for Biomedical Ontologies via Euclidean Vector Indexing
HyEm maps radius-controlled hyperbolic ontology embeddings to Euclidean space for ANN indexing and applies query-adaptive hyperbolic reranking to improve hierarchy-aware retrieval while preserving most Euclidean performance on flat queries.
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Priority-Aware Learning-Unlearning Correction for Dynamic Decentralized LoRA Fine-Tuning
A priority-aware learning-unlearning framework with orthogonal LoRA enables robust correction for device join/leave events in dynamic decentralized federated LLM fine-tuning.