tanjuntao / VFL_paper_list
vertical federated learning paper lists
☆74Updated 3 years ago
Related projects: ⓘ
- ☆108Updated 3 years ago
- Differentially Private Federated Learning on Heterogeneous Data☆56Updated 2 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆41Updated last year
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆77Updated 2 months ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆102Updated 3 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆138Updated 2 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆42Updated 11 months ago
- Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Ho…☆94Updated 2 years ago
- 基于《A Little Is Enough: Circumventing Defenses For Distributed Learning》的联邦学习攻击模型☆60Updated 4 years ago
- ☆26Updated 4 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 9 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- ☆163Updated last month
- FedMD: Heterogenous Federated Learning via Model Distillation☆147Updated 3 years ago
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆48Updated 3 months ago
- Code for Paper "Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption"☆30Updated last year
- A PyTorch implementation of "Communication-Efficient Learning of Deep Networks from Decentralized Data", AISTATS, 2017☆77Updated last month
- PyTorch implementation of Federated Learning algorithms FedSGD, FedAvg, FedAvgM, FedIR, FedVC, FedProx and standard SGD, applied to visua…☆64Updated 2 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆160Updated 3 years ago
- Standard federated learning implementations in FedLab and FL benchmarks.☆152Updated 7 months ago
- Curated notebooks on how to train neural networks using differential privacy and federated learning.☆66Updated 3 years ago
- Accenture Labs Federated Learning☆91Updated 6 months ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆153Updated last year
- ☆37Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆134Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 3 months ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆30Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 4 years ago
- Tutorials and paper lists for federated learning☆64Updated 2 years ago
- Concentrated Differentially Private Gradient Descent with Adaptive per-iteration Privacy Budget☆46Updated 6 years ago