yj4889 / yj4889-Optimized-Quantization-for-Convolutional-Deep-Neural-Networks-in-Federated-LearningLinks
Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central server. It is useful when the central server can’t collect data. However, the absence of data on central server means that deep network compression using data is not possible. Deep network compression is very import…
☆14Updated 5 years ago
Alternatives and similar repositories for yj4889-Optimized-Quantization-for-Convolutional-Deep-Neural-Networks-in-Federated-Learning
Users that are interested in yj4889-Optimized-Quantization-for-Convolutional-Deep-Neural-Networks-in-Federated-Learning are comparing it to the libraries listed below
Sorting:
- Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks☆17Updated 3 years ago
- ☆39Updated 2 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆17Updated 4 years ago
- Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)☆27Updated 2 years ago
- Hao Jin, Yang Peng, Wenhao Yang, Shusen Wang and Zhihua Zhang. Federated Reinforcement Learning with Environment Heterogeneity. AISTATS, …☆62Updated 3 years ago
- ☆11Updated 3 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Updated last year
- Multiple Edge Servers Assignment for Local Device in Hierarchical Federated Learning☆20Updated 4 years ago
- Migration of Edge-based Distributed Federated Learning☆25Updated 3 years ago
- SFedChain: blockchain-based federated learning scheme for secure data sharing in distributed energy storage networks☆12Updated 3 years ago
- ☆11Updated 2 years ago
- [NeurIPS2021] Federated Reinforcement Learning with Theoretical Guarantees. The repo contains code and experiments for our Federated Poli…☆103Updated 7 months ago
- Federated Learning over Wireless Networks☆46Updated 4 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Updated 4 years ago
- Source code for 'Dual Attention Based FL for Wireless Traffic Prediction'☆70Updated 4 years ago
- This repository implements FEDL using pytorch☆56Updated 5 years ago
- Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.☆44Updated 3 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- FLASH-RL (Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning) is a novel and effective strategy f…☆51Updated last year
- FedFormer: Contextual Federation with Attention in Reinforcement Learning (AAMAS 2023)☆43Updated last year
- Apprentices in Federated Learning from ECNU <3☆24Updated 3 years ago
- Adaptive Offloading of Federated Learning on IoT Devices☆76Updated 3 years ago
- Federated Reinforcement Learning project☆30Updated 2 years ago
- Code for the case study presented in "Making a Case for Federated Learning in the Internet of Vehicles and Intelligent Transportation Sys…☆26Updated 4 years ago
- We will implement this framework.☆32Updated 3 years ago
- ☆10Updated last year
- ☆11Updated 4 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Updated 4 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆14Updated 2 years ago