resource-constrained-devices

There are 0 repository under resource-constrained-devices topic.

mohaimenz / deep_active_featl
Deep Active Audio Feature Learning in Resource-Constrained Environments
active-learning deep-active-learning deep-learning deep-neural-networks resource-constrained-devices audio-feature-learning
Language:Python 1
zeyneddinoz / subMFL
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
decentralized-learning distributed-learning edge-computing edge-intelligence federated-learning heterogeneous-environment mobile-edge-agent model-compression model-generalization model-personalization model-pruning ondeviceai resource-constrained-devices resource-constrained-ml statistical-heterogeneity trustworthy-ai
Language:Jupyter Notebook 1
Ahmad-Shawahna / FxP-QNet
A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation for Efficient Hardware Acceleration on Edge Devices
neural-networks model-compression deep-learning quantization fixed-point-arithmetic mixed-precision acceleration accuracy efficient-inference resource-constrained-devices
0
aliciusschroeder / json_segments
A robust C library for efficient segmentation and reassembly of large JSON objects in IoT and resource-constrained environments. Ensures data integrity and efficiency in network communication.
cjson data-integrity data-processing data-segmentation embedded-systems iot-communication json network-communication resource-constrained-devices
Language:C 0
jeho-lee / Awesome-On-Device-AI
edge-computing machine-learning mobile-systems on-device-ai resource-constrained-devices
0