mankasto / iLRGLinks
Instance-wise Batch Label Restoration via Gradients In Federated Learning (ICLR 2023)
☆11Updated 2 years ago
Alternatives and similar repositories for iLRG
Users that are interested in iLRG are comparing it to the libraries listed below
Sorting:
- A pytorch implementation of the paper "Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage".☆62Updated 3 years ago
- ☆72Updated 3 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Updated last year
- ☆55Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Updated 3 years ago
- ☆29Updated 3 years ago
- The code for "Improved Deep Leakage from Gradients" (iDLG).☆164Updated 4 years ago
- ☆38Updated 4 years ago
- The code of AAAI-21 paper titled "Defending against Backdoors in Federated Learning with Robust Learning Rate".☆35Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Updated 2 years ago
- Simplified Implementation of FedPAC☆60Updated 2 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆61Updated 2 years ago
- [ICLR2023] Official Implementation of Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (http…☆69Updated 2 years ago
- ☆34Updated 2 years ago
- Code for the NeurIPS 2024 submission: "DAGER: Extracting Text from Gradients with Language Model Priors"☆20Updated 4 months ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆18Updated 6 years ago
- Official Repository for ResSFL (accepted by CVPR '22)☆26Updated 3 years ago
- [CCS 2021] "DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation" by Boxin Wang*, Fan Wu*, Yunhui Long…☆36Updated 4 years ago
- PyTorch code for our paper "Resource-Adaptive Federated Learning with All-In-One Neural Composition" (NeurIPS2022)☆19Updated 3 years ago
- ☆20Updated last year
- ☆29Updated 2 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆148Updated 3 years ago
- [ICLR 2023, Best Paper Award at ECCV’22 AROW Workshop] FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning☆60Updated last year
- ICML 2022 code for "Neurotoxin: Durable Backdoors in Federated Learning" https://arxiv.org/abs/2206.10341☆80Updated 2 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Updated 4 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆33Updated 3 years ago
- ☆33Updated 4 years ago
- A PyTorch based repository for Federate Learning with Differential Privacy☆17Updated 2 years ago
- The pytorch code of FedDISC (Federated Diffusion-Inspired Semi-supervised Co-training method)☆10Updated 2 years ago