Codes for paper "ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations"
☆17May 22, 2024Updated 2 years ago
Alternatives and similar repositories for ALI-DPFL
Users that are interested in ALI-DPFL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [MICCAI2023] Client-Level Differential Privacy via Adaptive Intermediary in Federated Medical Imaging☆17Aug 2, 2024Updated last year
- nips23-Dynamic Personalized Federated Learning with Adaptive Differential Privacy☆93Sep 10, 2024Updated last year
- ☆14Dec 12, 2024Updated last year
- The source code of the paper "Efficient Privacy-Preserving Federated Learning with Compressed Sensing"☆21May 23, 2024Updated 2 years ago
- Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation☆24May 22, 2024Updated 2 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release (VLDB' 2024)☆27Jan 25, 2025Updated last year
- [ICML 2025] The Official implementation of our paper "Clients Collaborate: Flexible Differentially Private Federated Learning with Guaran…☆23Dec 21, 2025Updated 7 months ago
- A Proof-of-Stake (PoS) blockchain-based Federated Learning framework with a validation scheme robust against the distorted local model up…☆23Sep 11, 2023Updated 2 years ago
- We present a set of all-reduce compatible gradient compression algorithms which significantly reduce the communication overhead while mai…☆10Nov 14, 2021Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆424Oct 26, 2024Updated last year
- 一个轻量型联邦学习框架，支持支持本地仿真和实际部，支持通信参量、模型、数据的自由更改，支持通信及模型各种指标的观察 开发人员：Jiaxiang Geng/Songning Gao☆34Aug 5, 2024Updated last year
- [ECCV'24] UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening☆10Dec 18, 2025Updated 7 months ago
- Blockchain-based Federated Learning Utilizing Zero-Knowledge Proofs for Verifiable Training and Aggregation☆14Dec 26, 2024Updated last year
- 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.
- ☆46Aug 4, 2023Updated 2 years ago
- 关于Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee这篇论文的详细代码解读☆11Dec 27, 2023Updated 2 years ago
- ☆35Oct 12, 2022Updated 3 years ago
- DAC系列集成，博客+知识库+导航☆13Sep 16, 2025Updated 10 months ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 5 years ago
- Code for Neural Networks journal paper - StoCFL: A stochastically clustered federated learning framework for Non-IID data with dynamic cl…☆13Apr 28, 2024Updated 2 years ago
- Accepted at MLNCP NeurIPS 2024: QFed+FHE: Quantum Federated Learning with Secure Fully Homomorphic Encryption (FHE)☆15Dec 27, 2024Updated last year
- 电子科技大学信息与软件学院研究生一年级学科课程资料☆11Dec 17, 2021Updated 4 years ago
- Official implementation of Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective☆13Sep 4, 2024Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Implementation of dp-based federated learning framework using PyTorch☆322Jan 3, 2026Updated 6 months ago
- (AAAI-24) Federated Learning via Input-Output Collaborative Distillation☆11Dec 28, 2023Updated 2 years ago
- Code for the paper "FedFisher: Leveraging Fisher Information for One-Shot Federated Learning" by Divyansh Jhunjhunwala, Shiqiang Wang, an…☆15Feb 10, 2024Updated 2 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆19Mar 3, 2023Updated 3 years ago
- A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.☆19Aug 12, 2020Updated 5 years ago
- ☆13Jan 12, 2024Updated 2 years ago
- Official implementation for paper "FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning" (NeurIPS 2023).☆13Oct 25, 2024Updated last year
- This repo contains all the codes and sample files for the "Short and Long-term Pattern Discovery Over Large-Scale Geo-Spatiotemporal Data…☆13May 19, 2022Updated 4 years ago
- pandas练习☆11Apr 23, 2019Updated 7 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.
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆49Mar 1, 2018Updated 8 years ago
- Code for "Lightweight Blockchain-Empowered Secure and Efficient Federated Edge Learning", IEEE Transactions on Computers☆13Mar 12, 2026Updated 4 months ago
- Causing a DDOS attack and mitigating it using blockchain and smart contracts.☆12Apr 26, 2018Updated 8 years ago
- Scope: On Detecting Constrained Backdoor Attacks in Federated Learning☆22Jul 2, 2025Updated last year
- Code for our ACL'23 paper on how to identify metaphor mappings with the help of GPT-3☆12May 21, 2025Updated last year
- Clustered Federated Learning via Gradient-based Partitioning (ICML 2024)☆15Jun 15, 2025Updated last year
- ☆10Mar 31, 2022Updated 4 years ago