DPBayes / DP-cross-silo-federated-learningLinks
Code for the DP cross-silo federated learning paper
☆11Updated 4 years ago
Alternatives and similar repositories for DP-cross-silo-federated-learning
Users that are interested in DP-cross-silo-federated-learning are comparing it to the libraries listed below
Sorting:
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- ☆18Updated 4 years ago
- Official code repository for our accepted work "Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning" in NeurI…☆23Updated 9 months ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆35Updated last year
- Gradient-Leakage Resilient Federated Learning☆13Updated 2 years ago
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆22Updated 5 years ago
- ☆30Updated 5 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- Adversarial attacks and defenses against federated learning.☆17Updated 2 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Asynchronous Federated Learning☆19Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆56Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆53Updated last year
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆45Updated 2 years ago
- Learning from history for Byzantine Robustness☆23Updated 4 years ago
- ☆16Updated last year
- Simplicial-FL to manage client device heterogeneity in Federated Learning☆22Updated last year
- SPATL: Salient Prameter Aggregation and Transfer Learning for Heterogeneous Federated Learning☆24Updated 2 years ago
- FL-Defender: Combating Targeted Attacks in Federated Learning☆1Updated 2 years ago
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 4 years ago
- Reproduce Paper "Federated Learning with Non-IID Data"☆10Updated 4 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆72Updated 3 years ago
- An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)☆26Updated 2 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 3 years ago
- ☆38Updated 4 years ago
- Code for Exploiting Unintended Feature Leakage in Collaborative Learning (in Oakland 2019)☆53Updated 6 years ago
- ☆30Updated 4 years ago