APPFL / APPFL
Advanced Privacy-Preserving Federated Learning framework
☆82Updated this week
Related projects ⓘ
Alternatives and complementary repositories for APPFL
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning☆133Updated 3 months ago
- PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms☆72Updated 3 years ago
- Code for the CCS'22 paper "Federated Boosted Decision Trees with Differential Privacy"☆43Updated last year
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Federated Learning Systems Paper List☆68Updated 9 months ago
- A Simulator for Privacy Preserving Federated Learning☆92Updated 3 years ago
- Code for NDSS 2021 Paper "Manipulating the Byzantine: Optimizing Model Poisoning Attacks and Defenses Against Federated Learning"☆135Updated 2 years ago
- ☆41Updated 6 months ago
- A tree-based federated learning system (MLSys 2023)☆144Updated last year
- PyTorch implementation of Federated Learning with Non-IID Data, and federated learning algorithms, including FedAvg, FedProx.☆115Updated 2 years ago
- THU-AIR Vertical Federated Learning general, extensible and light-weight framework☆84Updated 4 months ago
- Code accompanying the paper "Decentralized Federated Learning through Proxy Model Sharing"☆67Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆59Updated 2 years ago
- Oort: Efficient Federated Learning via Guided Participant Selection☆124Updated 3 years ago
- A Benchmark of Real-world Image Dataset for Federated Learning☆42Updated 5 years ago
- Implementation of the paper "Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems"☆46Updated 11 months ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 2 years ago
- Implementation of dp-based federated learning framework using PyTorch☆287Updated last year
- ☆78Updated 4 years ago
- 🎓Automatically Update FL Papers Daily using Github Actions (Update Every 12th hours)☆20Updated this week
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆42Updated last year
- ☆167Updated 3 weeks ago
- DP-FTRL from "Practical and Private (Deep) Learning without Sampling or Shuffling" for centralized training.☆25Updated 3 months ago
- diaoenmao / HeteroFL-Computation-and-Communication-Efficient-Federated-Learning-for-Heterogeneous-Clients[ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆153Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆31Updated last month
- Official implementation of our work "Collaborative Fairness in Federated Learning."☆49Updated 5 months ago
- ☆27Updated last year
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆33Updated 5 months ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆71Updated 3 years ago