☆15Jan 16, 2024Updated 2 years ago
Alternatives and similar repositories for gradient_disaggregation
Users that are interested in gradient_disaggregation are comparing it to the libraries listed below
Sorting:
- ☆12Jun 8, 2021Updated 4 years ago
- ☆16May 10, 2019Updated 6 years ago
- ☆40Sep 25, 2023Updated 2 years ago
- ☆73Jun 7, 2022Updated 3 years ago
- ☆22Sep 1, 2023Updated 2 years ago
- TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations☆20Dec 27, 2020Updated 5 years ago
- ☆21May 11, 2022Updated 3 years ago
- Implementation of Minimax Pareto Fairness framework☆22Sep 2, 2020Updated 5 years ago
- Federated posterior averaging implemented in JAX☆53Apr 13, 2023Updated 2 years ago
- Implementation of calibration bounds for differential privacy in the shuffle model☆21Nov 10, 2020Updated 5 years ago
- Algorithms to recover input data from their gradient signal through a neural network☆314Apr 14, 2023Updated 2 years ago
- ☆29Dec 23, 2023Updated 2 years ago
- ☆31Mar 12, 2023Updated 2 years ago
- [NeurIPS 2022] JAX/Haiku implementation of "On Privacy and Personalization in Cross-Silo Federated Learning"☆27Apr 16, 2023Updated 2 years ago
- ☆54Jun 22, 2021Updated 4 years ago
- ☆34Jul 9, 2020Updated 5 years ago
- A simple Python implementation of a secure aggregation protocole for federated learning.☆37May 1, 2023Updated 2 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Apr 18, 2022Updated 3 years ago
- FedUL: Federated Learning from Only Unlabeled Data with Class-Conditional-Sharing Clients☆32Jul 11, 2023Updated 2 years ago
- ☆32Sep 2, 2024Updated last year
- ☆12Oct 28, 2023Updated 2 years ago
- QROA: A Black-Box Query-Response Optimization Attack on LLMs☆14May 23, 2025Updated 9 months ago
- ☆43Dec 8, 2021Updated 4 years ago
- Code for Auditing DPSGD☆37Feb 15, 2022Updated 4 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆39May 28, 2024Updated last year
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- R-GAP: Recursive Gradient Attack on Privacy [Accepted at ICLR 2021]☆37Feb 20, 2023Updated 3 years ago
- ☆11Dec 4, 2025Updated 2 months ago
- ☆13Feb 17, 2025Updated last year
- ☆10Nov 1, 2023Updated 2 years ago
- ☆16Oct 2, 2022Updated 3 years ago
- Cryptographically Secure Aggregation for Federated Learning☆11Jan 24, 2023Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- Self-Teaching Notes on Gradient Leakage Attacks against GPT-2 models.☆14Mar 18, 2024Updated last year
- Secure Federated Learning Framework with Encryption Aggregation and Integer Encoding Method.☆10Jul 1, 2024Updated last year
- Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data☆11Dec 17, 2024Updated last year
- The official GitHub page for the survey paper "Content Generation Models in Computational Pathology: A Comprehensive Survey on Methods, A…☆21Oct 9, 2025Updated 4 months ago
- ☆47Dec 29, 2021Updated 4 years ago