Efficient approximation algorithms for Shapley Values in Horizontal Enterprise Federated Learning
☆13May 5, 2020Updated 5 years ago
Alternatives and similar repositories for Shapley-Algorithms-Federated-Learning-
Users that are interested in Shapley-Algorithms-Federated-Learning- are comparing it to the libraries listed below
Sorting:
- Blockchain Enabled Asynchronous and Secure Federated Machine Learning☆12May 21, 2021Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Nov 5, 2020Updated 5 years ago
- Federated learning is a distributed learning method that trains a deep network on user devices without collecting data from central serve…☆14Jul 7, 2020Updated 5 years ago
- Efficient Computation and Analysis of Distributional Shapley Values (AISTATS 2021)☆22Oct 19, 2023Updated 2 years ago
- Profit Allocation for Federated Learning☆24Apr 27, 2020Updated 5 years ago
- Distributional Shapley: A Distributional Framework for Data Valuation☆30May 1, 2024Updated last year
- ☆26Apr 3, 2020Updated 5 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Sep 24, 2021Updated 4 years ago
- vector quantization for stochastic gradient descent.☆35May 12, 2020Updated 5 years ago
- An active RFID system for locating free roaming pets / wildlife.☆10Jul 22, 2023Updated 2 years ago
- Weighted Masks Fusion (WMF) - Ensembling for Instance Segmentation.☆11Aug 1, 2023Updated 2 years ago
- Research simulation toolkit for federated learning☆13Nov 7, 2020Updated 5 years ago
- A MATLAB tool for material decomposition based on dual energy microCT scanning☆10Jul 6, 2017Updated 8 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆43Nov 10, 2022Updated 3 years ago
- Code for paper "Interpret Federated Learning with Shapley Values"☆40May 18, 2019Updated 6 years ago
- ODLabel is a powerful tool for zero-shot object detection, labeling and visualization. It provides an intuitive graphical user interface …☆10May 19, 2024Updated last year
- End-to-End Gradient Inversion (Gradient Leakage in Federated Learning) 【https://ieeexplore.ieee.org/document/9878027】☆11Aug 19, 2022Updated 3 years ago
- Official repo of the paper Deep Regression Unlearning accepted in ICML 2023☆14Jun 14, 2023Updated 2 years ago
- AutoLibra: Metric Induction for Agents from Open-Ended Human Feedback☆17Oct 15, 2025Updated 4 months ago
- Antonino Furnari's fork of Feichtenhofer's gpu_flow, with temporal dilation.☆10Sep 18, 2020Updated 5 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 4 years ago
- Machine learning project using federated learning for text generation☆11May 5, 2024Updated last year
- Contribution Measurement Experiment for Federated Learning☆10Jul 20, 2022Updated 3 years ago
- Detection of the structural, evolutionary and functional relationship between different proteins and protein families requires comparativ…☆15Sep 22, 2023Updated 2 years ago
- Benchmarks for AutoAlbument - AutoML for Image Augmentation☆10Nov 5, 2023Updated 2 years ago
- Simulation code for Federated Learning with Over-the-Air Computation.☆11Sep 11, 2020Updated 5 years ago
- A study in multi-center imaging diagnostics, emphasizing on the modality of cardiovascular magnetic resonance and the prediction of hyper…☆11Jul 14, 2021Updated 4 years ago
- Recyclable Robotic Sorting with Custom Synthetic Dataset and Annotations☆12Apr 9, 2021Updated 4 years ago
- Attacks using out-of-distribution adversarial examples☆11Nov 19, 2019Updated 6 years ago
- Aggregation framework for annotating datasets in computer vision tasks (detection, segmentation, video captioning etc.)☆11Nov 6, 2024Updated last year
- A common protocol for AI agent tools☆10Oct 21, 2024Updated last year
- Faster and cheaper! parallel processing of Anthropic API requests, optimizing for speed, cost-efficiency, and rate limit compliance.☆15Oct 1, 2024Updated last year
- Federated principal component analysis (FPCA) is my master thesis, which aims to adapt PCA in a federated learning setting. The technique…☆11Apr 5, 2024Updated last year
- This is an official repository for "LAVA: Data Valuation without Pre-Specified Learning Algorithms" (ICLR2023).☆52Jun 5, 2024Updated last year
- Membership Inference Attack on Federated Learning☆12Jan 14, 2022Updated 4 years ago
- Official code for FAccT'21 paper "Fairness Through Robustness: Investigating Robustness Disparity in Deep Learning" https://arxiv.org/abs…☆13Mar 9, 2021Updated 4 years ago
- Project of ACL 2025 "UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models"☆14Mar 25, 2025Updated 11 months ago
- Fast recipes for fastai☆11Apr 12, 2023Updated 2 years ago
- ☆10Jan 1, 2024Updated 2 years ago