hwang595 / DETOX
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
☆16Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for DETOX
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated last year
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- ☆31Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago
- ☆14Updated 5 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆21Updated last year
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆22Updated last month
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆61Updated 4 years ago
- Learning from history for Byzantine Robustness☆21Updated 3 years ago
- ☆17Updated 3 years ago
- Salvaging Federated Learning by Local Adaptation☆56Updated 4 months ago
- ☆26Updated 4 years ago
- ☆36Updated 3 years ago
- Attentive Federated Learning for Private NLM☆60Updated 4 months ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆17Updated 4 years ago
- ☆24Updated 5 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- ☆55Updated 3 years ago
- ☆65Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆72Updated 3 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- ☆14Updated 10 months ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 11 months ago
- Official implementation of "GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning"☆29Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆146Updated 2 years ago
- Privacy attacks on Split Learning☆37Updated 3 years ago