tremblerz / nopeekLinks
Nopeek experiments
☆14Updated 5 years ago
Alternatives and similar repositories for nopeek
Users that are interested in nopeek are comparing it to the libraries listed below
Sorting:
- reveal the vulnerabilities of SplitNN☆31Updated 3 years ago
- Privacy attacks on Split Learning☆43Updated 4 years ago
- Investigating Split Learning and Federate Learning☆87Updated 5 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆116Updated 4 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- Releasing the source code Version1.☆178Updated 4 years ago
- ☆96Updated 4 years ago
- ☆54Updated 4 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆84Updated 2 years ago
- Code for Data Poisoning Attacks Against Federated Learning Systems☆205Updated 4 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆157Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆84Updated 3 years ago
- Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470☆152Updated 3 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆161Updated 4 years ago
- PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.☆226Updated 5 years ago
- ☆51Updated 4 years ago
- Official implementation of "FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective"…☆86Updated 5 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 6 years ago
- ☆46Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆179Updated 2 years ago
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Updated 9 months ago
- The reproduction of the paper Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning.☆63Updated 2 years ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆78Updated 4 years ago
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆90Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39Updated last year
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆42Updated 4 years ago
- ☆179Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆53Updated 3 years ago