Tag: federated learning
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Federated Learning Boosts Pediatric Organ Segmentation Accuracy
Discover how multi-center federated learning improves organs-at-risk segmentation for pediatric abdominal radiotherapy, overcoming data scarcity challenges...
GLoRA: Gauge-Aware Low-Rank Adaptation for Federated LoRA
Discover GLoRA, a gauge-aware method improving federated LoRA by enabling efficient, semantically valid low-rank model aggregation for decentralized AI.
AS-LoRA: Adaptive LoRA Selection for Private Federated Learning
Discover AS-LoRA, an adaptive framework improving privacy-preserving federated learning by reducing errors and boosting model accuracy with dynamic LoRA se...
FedSAF: Structural Alignment for Heterogeneous Federated Learning
Discover FedSAF, a novel structural alignment method improving prototype alignment in heterogeneous federated learning for better classification and collab...
Federated Alignment of Vision-Language Models via Preferences
Discover MoR, a federated learning framework that aligns heterogeneous vision-language models using preference-based collaboration without sharing paramete...