SharifAbuadbba / split-learning-1DLinks
Data61' CSIRO Distributed System Security Group. We have developed this algorithm to explore the question - Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? The work has been accepted in asiaccs 2020
☆12Updated last year
Alternatives and similar repositories for split-learning-1D
Users that are interested in split-learning-1D are comparing it to the libraries listed below
Sorting:
- Code to accompany the paper "Deep Learning with Gaussian Differential Privacy"☆33Updated 4 years ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆32Updated 2 years ago
- ☆16Updated last year
- Integration of SplitNN for vertically partitioned data with OpenMined's PySyft☆27Updated 4 years ago
- Federated Principal Component Analysis Revisited!☆43Updated 3 years ago
- ☆11Updated 3 years ago
- ☆17Updated 4 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated 2 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 3 years ago
- Federated Learning package☆21Updated 3 years ago
- ☆28Updated 3 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- A Simulator for Privacy Preserving Federated Learning☆94Updated 4 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆67Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆57Updated 2 years ago
- DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation☆16Updated 5 years ago
- SRDS 2020: End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things☆110Updated 4 years ago
- FedPSO: Federated Learning Using Particle Swarm Optimization to Reduce Communication Costs☆19Updated 2 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated last year
- Local Differential Privacy for Federated Learning☆17Updated 2 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- This is official code for ACIIDS2022 paper "Meta-learning and Personalization layer in Federated learning"☆29Updated last year
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Updated last year
- Pytorch implementation of paper Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data (https://arxiv.org/abs/16…☆44Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated 2 years ago
- Code and raw result data for paper: AsyncFedED: Asynchronous Federated Learning with Euclidean Distance based Adaptive Weight Aggregation☆7Updated 3 years ago
- ☆54Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆143Updated 6 years ago
- Attentive Federated Learning for Private NLM☆61Updated last year