machine-learning edge-computing mobile-systems on-device-ai resource-constrained-devices efficient-ai
-
Updated
Nov 3, 2024
#
resource-constrained-devices
Here are 5 public repositories matching this topic...
subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment
model-pruning model-compression edge-computing resource-constrained-ml federated-learning distributed-learning mobile-edge-agent ondeviceai edge-intelligence decentralized-learning model-personalization statistical-heterogeneity trustworthy-ai model-generalization resource-constrained-devices heterogeneous-environment
-
Updated
Jun 27, 2024 - Jupyter Notebook
Official Repository for "Deep Active Audio Feature Learning in Resource-Constrained Environments"
deep-neural-networks deep-learning active-learning deep-active-learning resource-constrained-devices audio-feature-learning
-
Updated
Jul 17, 2024 - Python
A Post-Training Quantizer for the Design of Mixed Low-Precision DNNs with Dynamic Fixed-Point Representation for Efficient Hardware Acceleration on Edge Devices
acceleration deep-learning neural-networks accuracy quantization model-compression efficient-inference mixed-precision fixed-point-arithmetic resource-constrained-devices
-
Updated
Dec 10, 2021
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.
json embedded-systems data-processing network-communication cjson data-integrity data-segmentation iot-communication resource-constrained-devices
-
Updated
Jan 21, 2024 - C
Improve this page
Add a description, image, and links to the resource-constrained-devices topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the resource-constrained-devices topic, visit your repo's landing page and select "manage topics."