Distributed ML, Privacy-preserving AI, Edge Training, Decentralized Models
Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
arxiv.org·1d
A Deep Convolutional Neural Network-Based Novel Class Balancing for Imbalance Data Segmentation
arxiv.org·1d
Fed-pilot: Optimizing LoRA Allocation for Efficient Federated Fine-Tuning with Heterogeneous Clients
arxiv.org·1d
LLM-driven Medical Report Generation via Communication-efficient Heterogeneous Federated Learning
arxiv.org·1d
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
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