☆15Dec 11, 2023Updated 2 years ago
Alternatives and similar repositories for Federated-Learning-and-Differential-Privacy
Users that are interested in Federated-Learning-and-Differential-Privacy are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Local Differential Privacy for Federated Learning☆19Oct 24, 2022Updated 4 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆47Nov 28, 2022Updated 3 years ago
- The source code of the paper "Compressed Federated Learning Based on Adaptive Local Differential Privacy".☆10Oct 23, 2023Updated 3 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Jan 29, 2020Updated 6 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.
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆48Mar 1, 2018Updated 8 years ago
- Implementation of Shuffled Model of Differential Privacy in Federated Learning." AISTATS, 2021.☆18Oct 4, 2022Updated 4 years ago
- The official PyTorch implementation for the paper: "FedNoRo: Towards Noise-Robust Federated Learning By Addressing Class Imbalance and La…☆29Mar 16, 2024Updated 2 years ago
- We provide a friendly foundational platform for beginners who intend to start Federated Learning (FL)☆21May 26, 2025Updated last year
- ☆10Jul 18, 2024Updated 2 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆23Aug 12, 2020Updated 6 years ago
- The open-souce code of FedFA: Federated Learning with Feature Anchors to Align Features and Classifiers for Heterogeneous Data, accepted …☆21Oct 21, 2023Updated 3 years ago
- Apprentices in Federated Learning from ECNU <3☆26Mar 10, 2022Updated 4 years ago
- ☆16Apr 16, 2019Updated 7 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆20Feb 26, 2021Updated 5 years ago
- ☆24Dec 10, 2022Updated 3 years ago
- Distribution Preserving Backdoor Attack in Self-supervised Learning☆21Jan 27, 2024Updated 2 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆44Oct 29, 2021Updated 5 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 5 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆46Jun 12, 2023Updated 3 years ago
- [TNNLS 25] 👋 Fed-HeLLo: Efficient Federated Foundation Model Fine-Tuning with Heterogeneous LoRA Allocation☆12May 17, 2026Updated 5 months ago
- The code for the paper "Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation"☆33Sep 24, 2021Updated 5 years ago
- 一个博客bolg-cat☆10Dec 16, 2022Updated 3 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.
- Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving☆41Nov 2, 2023Updated 3 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- Source code for "FedSoft: Soft Clustered Federated Learning with Proximal Local Updating"☆19Apr 28, 2022Updated 4 years ago
- Preserve data privacy with k-anonymity (samarati & mondrian), differential privacy, federated learning, paillier homomorphic encryption, …☆61Feb 4, 2022Updated 4 years ago
- ☆20Mar 12, 2023Updated 3 years ago
- Research code that accompanies the paper FedCL: Federated Multi-Phase Curriculum Learning to Synchronously Correlate User Heterogeneity.☆21Aug 30, 2023Updated 3 years ago
- ☆12Dec 8, 2022Updated 3 years ago
- Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning☆39May 13, 2025Updated last year
- Official Pytorch implementation for "Differentially Private Federated Learning on Heterogeneous Data" (AISTATS 2022)☆77Feb 22, 2022Updated 4 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.
- Blockchain federated learning☆14Sep 26, 2022Updated 4 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37May 1, 2023Updated 3 years ago
- Differentially private federated learning: A systematic review (ACM Survey); Adap dp-fl: Differentially private federated learning with a…☆385Sep 2, 2025Updated last year
- ☆11Oct 16, 2022Updated 4 years ago
- Federated Dynamic Sparse Training☆31May 26, 2022Updated 4 years ago
- Automatically exported from code.google.com/p/provable-data-possession☆14Oct 19, 2015Updated 11 years ago
- CoPur: Certifiably Robust Collaborative Inference via Feature Purification (NeurIPS 2022)☆11Dec 7, 2022Updated 3 years ago