Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
- Herbert Woisetschläger
- Alexander Erben
- et al.
- 2024
- SIGMOD 2024
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- Machine Learning
1423 results for Machine Learning
Preventing Catastrophic Forgetting in Generalized Few-Shot Semantic Segmentation
- 2024
- JSAI 2024
Visual-Text Prompting
- 2024
- JSAI 2024
Theoretical and Empirical Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Open-World Scenarios
- 2024
- LREC-COLING 2024
Taming subnet-drift in D2D-enabled fog learning: a hierarchical gradient tracking approach
- Evan Chen
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
- Pengchao Han
- Shiqiang Wang
- et al.
- 2024
- INFOCOM 2024
A Precision-Optimized Fixed-Point Near-Memory Digital Processing Unit for Analog In-Memory Computing
- 2024
- ISCAS 2024
Improving the Accuracy of Analog-Based In-Memory Computing Accelerators Post-Training
- 2024
- ISCAS 2024
How to Model the Training and Inference of Analog-Based In-Memory Computing (AIMC) Systems
- 2024
- ISCAS 2024
AI-Powered Process Optimization for EUV MOR: Equipment Trace Data Feature Extraction and Machine Learning is Essential for CD Control
- Mario Faria
- Francis Ortega
- et al.
- 2024
- ASMC 2024