kavyakvk / TinyFederatedLearning

Related projects: ⓘ

• eliberis / uNAS
  μNAS is a neural architecture search (NAS) system that designs small-yet-powerful microcontroller-compatible neural networks.
  ☆75Updated 3 years ago
• pulp-platform / fann-on-mcu
  ☆29Updated 4 years ago
• mlcommons / tiny
  MLPerf™ Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers
  ☆339Updated this week
• FedML-AI / FedIoT
  Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.
  ☆45Updated 2 years ago
• AIoT-MLSys-Lab / FedAIoT
  [DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
  ☆47Updated 3 weeks ago
• bharathsudharsan / TinyML-Benchmark-NNs-on-MCUs
  Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
  ☆31Updated 2 years ago
• lcm97 / TX2-dnn-power-measurements
  ☆20Updated 4 years ago
• Bisonai / awesome-edge-machine-learning
  A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and o…
  ☆247Updated last year
• FedML-AI / FedML-IoT
  ☆31Updated this week
• crespum / edge-ai
  A curated list of resources for embedded AI
  ☆348Updated last month
• gaborvecsei / Federated-Learning-Mini-Framework
  Federated Learning mini-framework with Keras
  ☆35Updated 4 years ago
• xmouyang / FL-Datasets-for-HAR
  Four Federated learning datasets for Human Activity Recognition
  ☆49Updated last year
• bt-s / Split-Learning-and-Federated-Learning
  Investigating Split Learning and Federate Learning
  ☆72Updated 4 years ago
• kclip / FL-SNN
  Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
  ☆13Updated 3 years ago
• shashigharti / federated-learning-on-raspberry-pi
  This project implements the OpenMined tutorials and simulates the distributed model training process using 2 RPIs(Raspberry Pi).
  ☆107Updated 4 years ago
• awai54st / Enabling-Binary-Neural-Network-Training-on-the-Edge
  ☆15Updated 2 years ago
• Minki-Kim95 / Federated-Learning-and-Split-Learning-with-raspberry-pi
  SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
  ☆99Updated 3 years ago
• rpi-nsl / edgebench
  Benchmark for Edge Computing Platforms
  ☆19Updated last year
• scaledown-team / study-group
  Syllabus, schedule, resources etc. for TinyML study group
  ☆44Updated 3 years ago
• ChanChiChoi / awesome-Federated-Learning
  federated-learning
  ☆77Updated last year
• Harvard-CS249R-Fall2020 / assignments
  ☆25Updated 3 years ago
• learning1234embed / Intermittent-Learning
  [UbiComp 2020] Intermittent Learning: On-Device Machine Learning on Intermittently Powered System
  ☆10Updated 4 years ago
• kunglab / branchynet
  ☆121Updated 11 months ago
• EEESlab / mobilenet_v1_stm32_cmsis_nn
  Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
  ☆85Updated 4 years ago
• xmouyang / ClusterFL
  Repo for MobiSys 2021 paper: "ClusterFL: A Similarity-Aware Federated Learning System for Human Activity Recognition".
  ☆31Updated last year
• aazim18 / Python
  Deep neural network (DNN) implementation for inference tasks
  ☆13Updated 5 years ago
• eceisik / ece_fl_public
  ☆52Updated 2 years ago
• labRadioVision / federated
  Federated Learning package
  ☆19Updated 3 years ago
• EEESlab / CMSIS_NN-INTQ
  INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
  ☆20Updated 4 years ago
• gorakraj / earlyexit_onnx
  2021 Summer Research Internship project (UROP) at Imperial College London. Supervised by Prof George Constantinides and Ben Biggs
  ☆15Updated last year