zchaizju / Broad-Learning-SystemLinks
☆14Updated 5 years ago
Alternatives and similar repositories for Broad-Learning-System
Users that are interested in Broad-Learning-System are comparing it to the libraries listed below
Sorting:
- 演化计算/多任务优化/迁移优化☆15Updated 4 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆20Updated 4 years ago
- source code for MvBLS paper☆11Updated 4 years ago
- ☆27Updated 7 years ago
- A PyTorch Implementation for experiements in paper: Neurosurgeon: Collaborative Intelligence Between the Cloud and Mobile Edge.☆15Updated 2 years ago
- ☆15Updated 4 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆14Updated 5 years ago
- Code for IEEE GLOBECOM 2023 paper "Caching for Edge Inference at Scale: A Mean Field Multi-Agent Reinforcement Learning Approach".☆13Updated last year
- Code for paper "JMDC: A Joint Model and Data Compression System for Deep Neural Networks Collaborative Computing in Edge-Cloud Networks"☆22Updated 2 months ago
- Al-Tashi, Q., Abdulkadir, S. J., Rais, H. M., Mirjalili, S., & Alhussian, H. (2019). Binary Optimization Using Hybrid Grey Wolf Optimizat…☆21Updated 4 years ago
- Testing different RL algorithms for multi-agent environments. From SARSA, QLearning to Independent Q-Learning, Joint Action Learning and …☆12Updated 6 years ago
- Code for Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence☆15Updated 4 years ago
- Multi-view Broad Learning Systerm☆10Updated 3 years ago
- Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"☆62Updated 2 years ago
- 宽度学习 Broad Learning System MATLAB 代码 / 寬度學習Broad Learning System MATLAB代碼(1):MNIST實踐☆15Updated 6 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
- Multi-objective reinforcement learning for covid-19 control☆12Updated 4 years ago
- Reinforcement Learning for Self Organization and Power Control of Two-Tier Heterogeneous Networks☆20Updated 5 years ago
- A simulation of energy consumption of a federated learning system based on the non-orthogonal multiple access (NOMA) transmission protoco…☆28Updated 4 years ago
- The code for the paper task merging and scheduling for parallel deep learning applications in mobile edge computing☆26Updated 5 years ago
- The visualization of a multi-agent reinforcement learning (MARL)-based strategy with efficient exploration strategy.☆20Updated 3 years ago
- A collection for Paper/code for Wireless Communication Optimization Problems with PyTorch based DL☆25Updated 5 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- Code for the paper 'Energy Efficiency in Reinforcement Learning for Wireless Sensor Networks'☆23Updated 7 years ago
- Federated Learning for Energy-balanced Client Selection in Mobile Edge Computing☆35Updated last year
- Implementation of PSO, GA, DE, PSO_TVAC, APSO☆18Updated 6 years ago
- Optimal placement of edge servers using K-means Clustering and Power allocation using Particle Swarm Optimization☆13Updated 4 years ago
- ☆40Updated 4 years ago
- This is the code for paper "Correlation-aware Cooperative Multigroup Broadcast 360° Video Delivery Network: A Hierarchical Deep Reinforce…☆28Updated 4 years ago
- A Mobile edge computing server placement algorithm, written from scratch for 5g server placement depending upon various KPIs across a ar…☆12Updated 3 years ago