[INFOCOM24' & TDSC25']FedPHE & Efficient and Straggler-Resistant Homomorphic Encryption for Heterogeneous Federated Learning
☆43Aug 31, 2025Updated 9 months ago
Alternatives and similar repositories for FedPHE
Users that are interested in FedPHE are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆14Jul 11, 2023Updated 2 years ago
- repo in several methods FedAvg, FedMD, FedProto, FedProx, FedHKD.☆29Nov 21, 2023Updated 2 years ago
- 最新pytorch分布式训练，单机多卡，多机多卡整理（多GPU）☆18Mar 25, 2024Updated 2 years ago
- [arXiv'21] Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning☆22Apr 28, 2025Updated last year
- ☆91May 27, 2020Updated 6 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- Homomorphic Encryption and Federated Learning based Privacy-Preserving☆73Jun 27, 2023Updated 2 years ago
- Flower framework for Federated Learning, with Fully Homomorphic Encryption integrated☆14Jun 3, 2024Updated 2 years ago
- ☆19Sep 8, 2023Updated 2 years ago
- Distilling Task-Specific Knowledge from BERT into Simple Neural Networks.☆15Aug 28, 2020Updated 5 years ago
- Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradi…☆31Jun 9, 2021Updated 5 years ago
- ☆14Jul 6, 2018Updated 7 years ago
- Source code for MLSys 2022 submission "LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning"☆29Oct 25, 2021Updated 4 years ago
- Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"☆19May 19, 2024Updated 2 years ago
- Adaptive Resource-Aware Split-Learning, a framework for efficient model training in IoT systems☆15Jul 23, 2023Updated 2 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [ACM EuroSys'24] Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy☆24Apr 28, 2025Updated last year
- [ICLR 2025] Achieving Dimension-Free Communication in Federated Learning via Zeroth-Order Optimization☆28Jan 27, 2026Updated 4 months ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Jul 3, 2019Updated 6 years ago
- Initial Rust implementation of FAEST☆15Jul 6, 2023Updated 2 years ago
- Implementation of the Fish and Begol signature schemes☆14Jul 3, 2017Updated 8 years ago
- Code for the paper: Fast and Private Inference of Deep Neural Networks by Co-designing Activation Functions☆12Mar 13, 2024Updated 2 years ago
- Repository containing notebooks that implement different Federated Learning algorithms using PyTorch☆12May 17, 2021Updated 5 years ago
- Pytorch implementations of some general federated optimization methods.☆57Oct 25, 2024Updated last year
- personal implementation of secure aggregation protocol☆44Feb 6, 2024Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Course Material for the Tutorial on Privacy Enhancing Technologies and PPML☆13Oct 29, 2021Updated 4 years ago
- Official code for "Federated learning for heterogeneous electronic health record systems with cost effective participant selection"☆13Feb 11, 2026Updated 4 months ago
- A secure aggregation system for private federated learning☆52Mar 21, 2026Updated 2 months ago
- A hand-made OS core for National College Students Computer System Ability Competition☆11Aug 28, 2021Updated 4 years ago
- A simulation showcasing federated learning with homomorphic encryption☆10Sep 24, 2023Updated 2 years ago
- Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization☆13Jun 21, 2021Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆77Feb 22, 2022Updated 4 years ago
- Research Advances in the Latest Federal Learning Papers (Updated March 27, 2023)☆14Sep 19, 2023Updated 2 years ago
- A simple compiler for compiling SysY language into ARMv7-A instructions.☆12May 14, 2021Updated 5 years ago
- 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.
- Function Secret Sharing for Secure Thresholded Distance Metric Evaluation. The code accompanying the paper.☆13Dec 12, 2024Updated last year
- ☆12Dec 11, 2020Updated 5 years ago
- Federated learning convolution neural network (FL-CNN) to detect mode of transport from Itinerum GPS trajectories.☆35Apr 25, 2019Updated 7 years ago
- ECDSA algorithm C++ wrap library.☆10Jan 7, 2018Updated 8 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 3 years ago
- bert蒸馏实践，包含BiLSTM蒸馏BERT和TinyBert☆13Apr 23, 2022Updated 4 years ago
- Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shak…☆423Oct 26, 2024Updated last year