ReSpawn: Energy-Efficient Fault-Tolerance for Spiking Neural Networks considering Unreliable Memories.
Rachmad Vidya Wicaksana PutraMuhammad Abdullah HanifMuhammad ShafiquePublished in: CoRR (2021)
Keyphrases
- fault tolerance
- energy efficient
- spiking neural networks
- sensor nodes
- fault tolerant
- wireless sensor networks
- biologically inspired
- sensor networks
- energy consumption
- feed forward
- response time
- energy efficiency
- learning rules
- load balancing
- base station
- distributed systems
- artificial neural networks
- biologically plausible
- peer to peer
- multi hop
- mobile agents
- neural network
- data transmission
- motor control
- routing protocol
- training algorithm
- back propagation
- data collection
- genetic algorithm
- machine learning
- distributed environment
- real time
- anomaly detection
- learning scheme
- fuzzy logic
- multimedia
- learning algorithm
- single point of failure