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