epfml / byzantine-robust-decentralized-optimizerLinks
☆13Updated 3 years ago
Alternatives and similar repositories for byzantine-robust-decentralized-optimizer
Users that are interested in byzantine-robust-decentralized-optimizer are comparing it to the libraries listed below
Sorting:
- ☆16Updated last year
- Gradient-Leakage Resilient Federated Learning☆13Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆73Updated 4 years ago
- ☆54Updated 2 years ago
- Official code for "Throughput-Optimal Topology Design for Cross-Silo Federated Learning" (NeurIPS'20)☆31Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- ☆30Updated 5 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- ☆40Updated last year
- ☆37Updated 3 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆17Updated 2 years ago
- ☆15Updated 2 years ago
- ☆19Updated last year
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆59Updated 2 years ago
- ☆29Updated 2 years ago
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated 2 years ago
- Official repository of the paper "Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning".☆12Updated 3 years ago
- Practical One-Shot Federated Learning for Cross-Silo Setting☆42Updated 4 years ago
- ☆22Updated 4 years ago
- ☆70Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated 2 years ago
- This is the official implementation of the ICML 2023 paper "Fair yet Asymptotically Equal Collaborative Learning"☆10Updated 2 years ago
- Robust aggregation for federated learning with the RFA algorithm.☆48Updated 2 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆24Updated 10 months ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 2 years ago
- ☆22Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆38Updated 3 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Updated 2 years ago
- ☆20Updated 3 years ago