icml2019_zeno
by xcgoner
AI summary
Fault-tolerant training method
An implementation of distributed stochastic gradient descent with fault-tolerance using suspicion-based methods.
- stars
- 14
- forks
- 5
- watching
- 2
Similar projects
Found by comparing what the projects do, not just their names.
Mobile model retraining
An approach and implementation for distributed training of machine learning models on iOS devices using a central server.
ML vulnerability tester
A tool to test the vulnerability of machine learning models to adversarial attacks
Federated learner
An implementation of a federated learning algorithm for optimization problems with compositional pairwise risk optimization.
Federated learner optimizer
A tool for training federated learning models with adaptive gradient balancing to handle class imbalance in multi-client scenarios.
Heterogeneity fixer
Combating heterogeneity in federated learning by combining adversarial training with client-wise slack during aggregation
Inference optimizer
A deep learning method for optimizing convolutional neural networks by reducing computational cost while improving regularization and inference efficiency.
Robust network trainer
Trains neural networks to be provably robust against adversarial examples using abstract interpretation techniques.
Federated learner
This project presents a federated semi-supervised learning approach to improve model performance on multiple datasets by leveraging random sampling consensus.
Social Learning Test Suite
Assesses generalization of multi-agent reinforcement learning algorithms to novel social situations
Layer-by-layer training method
An implementation of a novel neural network training method that builds and trains networks one layer at a time.
Federated Learning Engine
An implementation of cross-silo federated learning with adaptability to statistical heterogeneity
FL accelerator
An algorithm to improve convergence rates and protect privacy in Federated Learning by addressing the catastrophic forgetting issue during local training
Gradient inversion vulnerability fix
An implementation of a method to invert gradients in federated learning to potentially reveal sensitive client data
Federated learning method
A method for personalizing machine learning models in federated learning settings with adaptive differential privacy to improve performance and robustness
Machine learning trainer
A Python implementation of a distributed machine learning framework for training neural networks on multiple GPUs