The official code for the paper 'Towards Fair Graph Federated Learning via Incentive Mechanisms'
☆18May 23, 2024Updated 2 years ago
Alternatives and similar repositories for FairGraphFL
Users that are interested in FairGraphFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A novel algorithm that distributes training-time model rewards to incentivize client contributions for federated learning. (ICLR-2024)☆18May 6, 2024Updated 2 years ago
- 此项目为论文《FedServing: A Federated Prediction Serving Framework Based on Incentive Mechanism》的验证项目。基于 intel SGX ,实现将各个不同模型的推测结果在可信硬件中使用 truth…☆18Oct 23, 2023Updated 3 years ago
- Code for publication on FL incentive mechanism design☆11Sep 12, 2024Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆40May 28, 2024Updated 2 years ago
- Model LEGO: Creating Models Like Disassembling and Assembling Building Blocks☆17Jan 15, 2025Updated last year
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- ☆32Oct 17, 2022Updated 4 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆55May 28, 2024Updated 2 years ago
- Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers [https://arxiv.org/pdf/2112.04934.pdf]☆15May 13, 2023Updated 3 years ago
- ☆22Jan 25, 2023Updated 3 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆15Sep 22, 2024Updated 2 years ago
- [ICLR 2024] Dynamic Neural Response Tuning☆17Nov 26, 2025Updated 11 months ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 3 years ago
- Q-RR, DIANA-RR, Q-NASTYA, NASTYA-DIANA, QSGD, DIANA, FedCOM and FedPAQ on logistic loss with L2 regularization☆11Nov 1, 2022Updated 4 years ago
- A lightweight and extensible toolbox for image classification and MORE (also called QTCLS)☆20May 27, 2026Updated 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- PyTorch implementation of H2-Fed Federated Learning Framework☆10Apr 26, 2023Updated 3 years ago
- Asynchronous Federated Learning☆48Apr 22, 2023Updated 3 years ago
- Repository implementing the lightweight split learning framework enabling edge devices to collaboratively train machine learning models w…☆10Mar 27, 2024Updated 2 years ago
- ☆12Oct 12, 2024Updated 2 years ago
- Set of JavaScript based tools and Ethereum Solidity contracts for BulletProof based range proofs and confidential transactions☆29Feb 17, 2019Updated 7 years ago
- ☆10Sep 18, 2021Updated 5 years ago
- A generative framework for efficient client selection in federated learning☆16Nov 18, 2024Updated last year
- ☆20Oct 2, 2020Updated 6 years ago
- [npj Digital Medicine] An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing for Information Extraction☆13May 1, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Introducing: Large Scale Capacity Consensus!☆14Nov 1, 2021Updated 5 years ago
- ☆11Mar 10, 2023Updated 3 years ago
- SPACE: Single-round Participant Amalgamation for Contribution Evaluation in Federated Learning☆10May 24, 2023Updated 3 years ago
- The source code of HIP Network: Historical Information Passing Network for Extrapolation Reasoning on Temporal Knowledge Graph on IJCAI20…☆18Jan 2, 2022Updated 4 years ago
- (CVPR 2024) Uniformity and Variance for Heterogeneous Federated Learning☆12Mar 6, 2024Updated 2 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆16Jan 10, 2024Updated 2 years ago
- An ns3 simulation script to compare various TCP variants under congestion☆14Apr 25, 2017Updated 9 years ago
- [ACM Computing Survey 2025] Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey, by MARS Group at Wuhan Univ…☆24Apr 9, 2025Updated last year
- Comparative analysis of TCP New Reno, Veno, Westwood, BIC and CUBIC☆21Dec 16, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- ☆16Aug 25, 2021Updated 5 years ago
- ☆23May 29, 2023Updated 3 years ago
- ☆18May 15, 2025Updated last year
- Performance testing of the TCP, SCTP, UDP and DCCP protocols with NS-3 DCE☆15Mar 14, 2017Updated 9 years ago
- Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”☆16Jan 8, 2024Updated 2 years ago
- Code for pFedFDA: Personalized Federated Learning via Feature Distribution Adaptation (NeurIPS 2024)☆22Sep 30, 2026Updated last month
- Code is coming soon if paper is accepted.☆10Dec 22, 2023Updated 2 years ago