chentianyi1991 / LAG-code
LAG code for NeurIPS 2018
☆9Updated 6 years ago
Alternatives and similar repositories for LAG-code:
Users that are interested in LAG-code are comparing it to the libraries listed below
- Code of NeurIPS 2019 paper: Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients☆16Updated 4 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- ☆19Updated 4 years ago
- code for TPDS paper "Towards Fair and Privacy-Preserving Federated Deep Models"☆31Updated 2 years ago
- Differentially Private Federated Learning: A Client Level Perspective☆12Updated 5 years ago
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"☆18Updated last year
- Federated Learning and Membership Inference Attacks experiments on CIFAR10☆21Updated 5 years ago
- Code for the paper "Bayesian Differential Privacy for Machine Learning"☆22Updated 4 years ago
- FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning☆17Updated 2 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆51Updated 10 months ago
- Differentially Private Federated Learning on Heterogeneous Data☆64Updated 3 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated 2 years ago
- Code for Horizontal Federated Learning blog around Credit Scoring☆10Updated 4 years ago
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆12Updated 9 months ago
- ☆54Updated 3 years ago
- Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth☆42Updated 11 months ago
- ☆29Updated 2 years ago
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 6 months ago
- ☆24Updated 5 years ago
- vertical federated learning paper lists☆75Updated 4 years ago
- Attentive Federated Learning for Private NLM☆61Updated 9 months ago
- ☆26Updated 5 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆39Updated last year
- reveal the vulnerabilities of SplitNN☆31Updated 2 years ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆67Updated 4 years ago
- tf implementation of federated learning☆41Updated 5 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆17Updated 5 years ago
- Adaptive gradient sparsification for efficient federated learning: an online learning approach☆18Updated 4 years ago