DP-FedSAM
by YMJS-Irfan
This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Learning (2023 CVPR)
AI summary
DPFL Algorithm
This repository provides an implementation of a differentially private federated learning algorithm designed to improve the robustness and performance of federated machine learning systems.
- stars
- 42
- forks
- 3
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Flat minimization optimizer
Improving generalization in federated learning by seeking flat minima through optimization techniques
Federated learning framework
Develops and evaluates federated learning algorithms for personalizing machine learning models across heterogeneous client data distributions.
Federated learner
An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.
Decentralized optimizer
A modular JAX implementation of federated learning via posterior averaging for decentralized optimization
Federated Learner
An implementation of a federated learning algorithm that generalizes to out-of-distribution scenarios using implicit invariant relationships
Federated Learning Library
An implementation of efficient federated learning algorithms for heterogeneous clients
Federated Learning Framework
Personalized Subgraph Federated Learning framework for distributed machine learning
Federated Learning Framework
An implementation of a personalized federated learning framework with decentralized sparse training and peer-to-peer communication protocol.
Federated Learning Algorithm
This project presents an approach to federated learning with partial client participation by optimizing anchor selection for improving model accuracy and convergence.
Federated learning model
A Python implementation of Personalized Federated Learning with Graph using PyTorch.
Federated ML framework
An implementation of federated multi-task learning with laplacian regularization across various datasets
RL algorithm
An implementation of reinforcement learning algorithms for continuous control tasks using deep neural networks.
Federated Prompt Algorithm
An algorithm for learning federated visual prompts in null space to improve MRI reconstruction performance on limited local data and reduced communication costs
Federated learning algorithm
A project implementing Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
