Accelerating BPTT-Based SNN Training with Sparsity-Aware and Pipelined Architecture

Συγγραφείς: Chaoming Fang, Fengshi Tian, Jie Yang, Mohamad Sawan

Πηγή: 2024 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

Θεματικοί όροι: Neurology, IoT and Edge/Fog Computing, Computer Networks and Communications, Control and Systems Engineering, Brain Tumor Detection and Classification, Robotics and Automated Systems

Σύνδεσμος πρόσβασης: https://publications.polymtl.ca/65422/
https://doi.org/10.1109/iscas58744.2024.10558101

Enhancing Data Integrity with CSDT: A Solution to Predict Data Disturbance in IoT Systems

Συγγραφείς: Smati, Meriem, Laval, Jannik, Cheutet, Vincent, Danjou, Christophe

Συνεισφορές: Cheutet, Vincent

Πηγή: IFIP Advances in Information and Communication Technology ISBN: 9783031933189

Θεματικοί όροι: Machine Learning, [INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI], IoT and Edge/Fog Computing, Computer Networks and Communications, Internet of Things, Data Integrity, Model-Driven Engineering, Blockchain Technology Applications and Security, Digital Twins, Cloud Data Security Solutions, Information Systems

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://hal.science/hal-04673726v1