一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao
☆34Aug 5, 2024Updated last year
Alternatives and similar repositories for Lightweight-federal-learning-framework
Users that are interested in Lightweight-federal-learning-framework are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 通过阅读Communication-Efficient Learning of Deep Networks from Decentralized Data与Robust and Communication-Efficient Federated Learning from …☆41Jul 28, 2022Updated 3 years ago
- ☆16Jun 5, 2025Updated 9 months ago
- ☆33May 14, 2022Updated 3 years ago
- This is a simulator for semi-persistent scheduling in C-V2X Mode 4☆16Jan 19, 2024Updated 2 years ago
- The implementation of FedMix☆11Aug 18, 2022Updated 3 years ago
- A UAVs empowered MEC SYSTEM☆10Sep 22, 2023Updated 2 years ago
- This is an instant noodle implementation of "Adaptive Task Offloading in Coded Edge Computing: A Deep Reinforcement Learning Approach"☆27Jul 2, 2022Updated 3 years ago
- Every work on Federated Learning Pruning☆23Feb 10, 2023Updated 3 years ago
- ☆10Jul 31, 2021Updated 4 years ago
- Implementation of Federated Learning and Blockchain for training machine learning models using a decentralized approach thereby attemptin…☆31Aug 21, 2021Updated 4 years ago
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆42Jun 30, 2022Updated 3 years ago
- Codes for kddcup2022☆18Aug 5, 2022Updated 3 years ago
- ☆49Oct 9, 2023Updated 2 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆43Nov 16, 2022Updated 3 years ago
- Active Client Selection for Federated Learning☆49Apr 18, 2023Updated 2 years ago
- 基于强化学习的异构感知高能效联邦学习调度系统☆14Apr 13, 2024Updated last year
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- LHSS is an implementation of lattice-based homomorphic secret sharing.☆12Apr 9, 2020Updated 5 years ago
- ☆14Jan 24, 2024Updated 2 years ago
- ☆19Nov 18, 2023Updated 2 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆12Feb 11, 2026Updated last month
- Edge Computing AI and Smart Contract☆10May 30, 2023Updated 2 years ago
- Fair Resource Allocation in Federated Learning (ICLR '20)☆254Dec 2, 2023Updated 2 years ago
- Blockchain federated learning simulate by python☆10May 29, 2023Updated 2 years ago
- Q learning and DQN☆10Mar 14, 2022Updated 4 years ago
- Efficient Secure Computation Protocols for Trigonometric Functions via Function Secret Sharing☆20Nov 8, 2022Updated 3 years ago
- Joint strategy design on edge computing offloading based on deep reinforcement learning☆124Jul 12, 2021Updated 4 years ago
- ☆10Dec 13, 2022Updated 3 years ago
- The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".☆10Oct 23, 2023Updated 2 years ago
- ☆12Aug 24, 2023Updated 2 years ago
- OMNET++ simulation of V2V and V2I in VANETs.☆20Apr 12, 2014Updated 11 years ago
- Causing a DDOS attack and mitigating it using blockchain and smart contracts.☆13Apr 26, 2018Updated 7 years ago
- Vectorized implementations of sample entropy (SampEn) and approximate entropy (ApEn)☆22Nov 29, 2021Updated 4 years ago
- Basic Blockchain-Based Federated Learning Intrusion Detection System☆12Nov 2, 2022Updated 3 years ago
- Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs☆98Sep 14, 2023Updated 2 years ago
- Federated Learning Algorithm (Pytorch) : FedAvg, FedProx, MOON, SCAFFOLD, FedDyn☆28Nov 6, 2024Updated last year
- Federated learning + blockchain example☆12Sep 13, 2022Updated 3 years ago
- 🔬 FedCom为SWPU2022届本科毕业设计《基于社区检测的多任务聚类联邦学习》。本研究提出了一种多任务聚类联邦学习（clustered federated learning, CFL）的新方法，该方法的特点是基于社区检测（community detection）来进…☆69Mar 29, 2023Updated 2 years ago
- ☆16Dec 15, 2021Updated 4 years ago