soteriafl
by haoyuzhao123
Code for paper SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
AI summary
Federated Learning Experiments
Numerical experiments for private federated learning with communication compression algorithms
- stars
- 7
- forks
- 1
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Vertical Fed Learning Framework
Provides code for Coresets in Vertical Federated Learning
Federated Learning Defense
An implementation of a defense against model inversion attacks in federated learning
Federated learning library
An implementation of federated learning with prototype-based methods across heterogeneous clients
Federated Learning Library
An implementation of efficient federated learning algorithms for heterogeneous clients
Federated Learning Framework
Evaluates various methods for federated learning on different models and tasks.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Federated Learning Experiment
An experiment comparing different federated learning approaches for image classification tasks with non-iid datasets.
Federated Learning Attack
A framework for attacking federated learning systems with adaptive backdoor attacks
Collaborative Learning Framework
A Python framework for collaborative machine learning without sharing sensitive data
Federated Learning Framework
This repository provides an implementation of a cross-silo federated learning framework with differential privacy mechanisms.
Federated Learning
Enabling multiple agents to learn from heterogeneous environments without sharing their knowledge or data
Federated Learning Framework
A framework for Federated Learning with Differential Privacy using PyTorch
Federated Learning
This project enables personalized federated learning with inferred collaboration graphs to improve the performance of machine learning models on non-IID (non-independent and identically distributed) datasets.
Data Fusion Tool
This project enables federated learning across partially class-disjoint data with curated bilateral curation.