☆22Apr 6, 2021Updated 5 years ago
Alternatives and similar repositories for ModelPruningLibrary
Users that are interested in ModelPruningLibrary are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆97May 9, 2022Updated 4 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Oct 31, 2020Updated 5 years ago
- Code for paper "Accelerating Federated Learning for IoT in Big Data Analytics with Pruning, Quantization and Selective Updating"☆13Aug 22, 2025Updated 9 months ago
- Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity☆42Oct 6, 2021Updated 4 years ago
- Federated learning with model quantization☆16Nov 28, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [Preprint] Backdoor Attacks on Federated Learning with Lottery Ticket Hypothesis☆10Sep 23, 2021Updated 4 years ago
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆166Jun 3, 2021Updated 5 years ago
- AIMS South Africa Short Course on Optimization☆18Oct 18, 2024Updated last year
- Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356☆74Sep 10, 2020Updated 5 years ago
- FedCD: Improving Performance in non-IID Federated Learning☆14Dec 2, 2020Updated 5 years ago
- ☆26Apr 3, 2020Updated 6 years ago
- Membership Inference Attack on Federated Learning☆13Jan 14, 2022Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- vector quantization for stochastic gradient descent.☆36May 12, 2020Updated 6 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆28Sep 28, 2024Updated last year
- ☆15Dec 7, 2023Updated 2 years ago
- PyTorch implementation of Joint Privacy Enhancement and Quantization in Federated Learning (IEEE TSP 2023, IEEE ICASSP 2023, IEEE ISIT 20…☆18Oct 28, 2025Updated 7 months ago
- ☆47Apr 26, 2024Updated 2 years ago
- A modular evaluation metrics and a benchmark for large-scale federated learning☆12Jul 25, 2024Updated last year
- Credit Approval Classification Deep Learning Model using Differential Drivacy, Secure Multi-Party Computation, and Federated Learning☆23Nov 22, 2022Updated 3 years ago
- ☆30Dec 22, 2022Updated 3 years ago
- ☆14Dec 8, 2022Updated 3 years ago
- 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.
- ☆21Sep 20, 2022Updated 3 years ago
- On the Convergence of FedAvg on Non-IID Data☆272Dec 7, 2022Updated 3 years ago
- Gradient-Leakage Resilient Federated Learning☆14Jul 25, 2022Updated 3 years ago
- Easy-to-Use Federated Learning Simulator in Pytorch☆17Apr 23, 2021Updated 5 years ago
- ☆20May 11, 2022Updated 4 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- verifying machine unlearning by backdooring☆20Mar 25, 2023Updated 3 years ago
- The HyFed framework provides an easy-to-use API to develop federated, privacy-preserving machine learning algorithms.☆18Sep 10, 2025Updated 8 months ago
- Official implementation of Neurips 2020 "Sparse Weight Activation Training" paper.☆29Jul 23, 2021Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Robust Differentially Private Training of Deep Neural Networks☆12Dec 10, 2020Updated 5 years ago
- ☆55Feb 19, 2023Updated 3 years ago
- Thesis in Federated Learning using an Edge/Cloud Computing architecture☆10Feb 26, 2021Updated 5 years ago
- A paper summary of Backdoor Attack against Neural Network☆13Aug 9, 2019Updated 6 years ago
- Traffic state data imputation☆11Aug 14, 2022Updated 3 years ago
- FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)☆37Dec 12, 2024Updated last year
- ☆31Oct 7, 2021Updated 4 years ago