akassharjun / ShapleyValueFLView external linksLinks
A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.
☆28Dec 10, 2023Updated 2 years ago
Alternatives and similar repositories for ShapleyValueFL
Users that are interested in ShapleyValueFL are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation for the paper FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.☆24May 18, 2022Updated 3 years ago
- Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022☆11Aug 9, 2022Updated 3 years ago
- A Survey on Vulnerability of Federated Learning: An Algorithm Perspective☆18May 30, 2024Updated last year
- [IEEE TMI'23] IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation☆12Apr 2, 2023Updated 2 years ago
- For distributed machine learning☆29Dec 18, 2025Updated last month
- Practical Vertical Federated Learning with Unsupervised Representation Learning (TBD 2022)☆22Feb 21, 2022Updated 3 years ago
- ☆25Apr 15, 2024Updated last year
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆11Sep 3, 2023Updated 2 years ago
- ☆21May 11, 2022Updated 3 years ago
- ☆27Oct 24, 2023Updated 2 years ago
- ☆30Jun 3, 2022Updated 3 years ago
- A Peer-to-Peer Payment System for Federated Learning☆78Jan 8, 2021Updated 5 years ago
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Apr 29, 2021Updated 4 years ago
- A Data-Driven Approach to Predict the Success of Bank Telemarketing☆10Apr 27, 2021Updated 4 years ago
- FedJudge: Federated Legal Large Language Model☆36Sep 19, 2024Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆39Aug 20, 2025Updated 5 months ago
- Guide to interviewing for industry machine learning roles (data/applied/research scientist, ML engineer, etc).☆11Dec 28, 2022Updated 3 years ago
- [ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning☆10Apr 28, 2023Updated 2 years ago
- ☆12Aug 25, 2021Updated 4 years ago
- A collection of demos and utilities prepared ahead of the Vector Institute Privacy Enhancing Techniques (PETs) Bootcamp.☆15Sep 22, 2022Updated 3 years ago
- ☆10Mar 21, 2024Updated last year
- This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint…☆82Apr 25, 2022Updated 3 years ago
- Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning☆39May 13, 2025Updated 9 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39May 28, 2024Updated last year
- List Flower resources☆12Feb 4, 2022Updated 4 years ago
- PyTorch code for the Neurips 2021 paper: Fairness via Representation Neutralization☆10Oct 26, 2021Updated 4 years ago
- paper code commit-fsmafl☆10Mar 18, 2024Updated last year
- 歇斯底里的双色球!But Chat with LLM☆11Mar 9, 2024Updated last year
- The implementation of FedMix☆11Aug 18, 2022Updated 3 years ago
- Code accompanying the paper "Disparate Impact in Differential Privacy from Gradient Misalignment".☆11Apr 4, 2023Updated 2 years ago
- ☆10Feb 24, 2022Updated 3 years ago
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆11Apr 28, 2024Updated last year
- [Ongoing Project] Codebase for network quantization study.☆12May 20, 2020Updated 5 years ago
- Code for ijcai-24 paper "Federated Adaptation for Foundation Model-based Recommendations"☆12Apr 18, 2025Updated 9 months ago
- The implement of FedCyBGD☆11Jul 19, 2024Updated last year
- Compression primitives for uplink compression in Federated Learning that are compatible with Secure Aggregation.☆10Jul 27, 2022Updated 3 years ago
- An unofficial pyotrch implementation of "ML-Leaks:Model and Data Independent Membership Inference Attacks and Defenses on ML Models"☆11Dec 23, 2023Updated 2 years ago
- Mixture of Expert (MoE) techniques for enhancing LLM performance through expert-driven prompt mapping and adapter combinations.☆12Feb 11, 2024Updated 2 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year