HongdaWu1226 / FedPNSView external linksLinks
☆33May 14, 2022Updated 3 years ago
Alternatives and similar repositories for FedPNS
Users that are interested in FedPNS are comparing it to the libraries listed below
Sorting:
- Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge☆43Jun 30, 2022Updated 3 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10May 29, 2023Updated 2 years ago
- This is the official implementation of Federated and Split Learning on multiple Raspberry Pi's. It is the demonstration of training the d…☆13Nov 16, 2022Updated 3 years ago
- Speech recognition with federated learning☆11Jan 9, 2020Updated 6 years ago
- Profit Allocation for Federated Learning☆24Apr 27, 2020Updated 5 years ago
- ☆29Dec 22, 2022Updated 3 years ago
- [ACM MobiCom 2022] "PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Che…☆71Jul 25, 2022Updated 3 years ago
- How Robust are Randomized Smoothing based Defenses to Data Poisoning? (CVPR 2021)☆14Jul 16, 2021Updated 4 years ago
- Source code for the ICML 2022 paper: "Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering"☆60May 9, 2023Updated 2 years ago
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆122Jul 1, 2022Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- [Preprint] On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping☆10Feb 27, 2020Updated 5 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Nov 29, 2020Updated 5 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆131Oct 27, 2021Updated 4 years ago
- A simulation framework for Federated Learning written in PyTorch☆209Apr 9, 2022Updated 3 years ago
- This repository implements FEDL using pytorch☆56Nov 6, 2020Updated 5 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Sep 24, 2021Updated 4 years ago
- 关于簇联邦学习的一个小小的改进。自动确定簇个数，提高簇模型精度，缓解用户孤立的问题☆35Apr 21, 2022Updated 3 years ago
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Dec 27, 2022Updated 3 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆40May 18, 2019Updated 6 years ago
- D-DQN Reinforcement Learning for device selection in Federated Learning☆43Jun 27, 2023Updated 2 years ago
- Code Implemntion from the article Multi-Armed Bandit Based Client Schedulingfor Federated Learning☆18Mar 27, 2021Updated 4 years ago
- demo☆20Jun 29, 2021Updated 4 years ago
- ☆22Sep 6, 2021Updated 4 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Sep 1, 2021Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Oct 21, 2020Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- ☆19Oct 24, 2021Updated 4 years ago
- Codebase for "Greedy Shapley Client Selection for Communication-Efficient Federated Learning"☆20Dec 17, 2023Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆47Apr 12, 2023Updated 2 years ago
- Codes for the paper FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning☆47Feb 11, 2023Updated 3 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Jun 6, 2020Updated 5 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Mar 14, 2024Updated last year
- DeceFL: A Principled Decentralized Federated Learning Framework☆29Jan 25, 2023Updated 3 years ago
- Federated Learning Framework☆24Oct 18, 2022Updated 3 years ago
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆821Oct 20, 2025Updated 3 months ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆22Jul 22, 2022Updated 3 years ago
- Study of data imbalance and asynchronous aggregation algorithm on Federated Learning system (using PySyft)☆63Oct 9, 2023Updated 2 years ago
- 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☆33Aug 5, 2024Updated last year