Cano, José

1. Designing Efficient LLM Accelerators for Edge Devices
   2024/08/01 by Haris, Jude, Saha, Rappy, Hu, Wenhao +1 · 7 citations
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR) #Machine Learning (cs.LG)
2. Accelerating Deep Learning Applications in Space
   2020/07/21 by Lofqvist, Martina, Cano, José · 1 citation
   #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC) #electronic engineering #information engineering
3. Data Transfer Optimizations for Host-CPU and Accelerators in AXI4MLIR
   2024/02/29 by Haris, Jude, Agostini, Nicolas Bohm, Tumeo, Antonino +2 · 1 citation
   #FOS: Computer and information sciences #Programming Languages (cs.PL)
4. Exploiting Unstructured Sparsity in Fully Homomorphic Encrypted DNNs
   2025/03/12 by Ferguson, Aidan, Gibson, Perry, D'Agata, Lara +5 · 2 citations
   #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Performance (cs.PF) #and Cluster Computing (cs.DC)
5. FetaFix: Automatic Fault Localization and Repair of Deep Learning Model Conversions
   2023/12/22 by Louloudakis, Nikolaos, Gibson, Perry, Cano, José +1 · 1 citation
   #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
6. Biases in Edge Language Models: Detection, Analysis, and Mitigation
   2025/02/17 by Sharma, Vinamra, Pau, Danilo Pietro, Cano, José · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Performance (cs.PF)