现有算法

现有算法

内置算法

同步联邦学习算法

• FedAvg Communication-Efficient Learning of Deep Networks from Decentralized Data
• FedProx FEDERATED OPTIMIZATION IN HETEROGENEOUS NETWORKS
• FedNova Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization
• FedAdam ADAPTIVE FEDERATED OPTIMIZATION
• TWAFL Communication-Efficient Federated Deep Learning with Asynchronous Model Update and Temporally Weighted Aggregation
• FedBN FedBN: Federated Learning on Non-IID Features via Local Batch Normalization
• FedLC Federated Learning with Label Distribution Skew via Logits Calibration

（半）异步联邦学习算法

• FedAsync Asynchronous Federated Optimization
• FedAT FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
• MSTEPAsync KAFL: Achieving High Training Efficiency for Fast-K Asynchronous Federated Learning
• FedBuff Federated Learning with Buffered Asynchronous Aggregation

个性化联邦学习算法

• FedDL FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition
• PFedMe PFedMe: Personalized Federated Learning with Meta-Learning

算法库

我们使用FedModule实现了更多的联邦学习算法，该算法库开源在GitHub。

现有配置

.
├── Centralized-config.json                 # 集中式学习
├── FedAT-config.json                       # FedAT
├── FedAdam-config.json                     # FedAdam
├── FedAsync-config.json                    # FedAsync
├── FedAvg-config.json                      # FedAvg
├── FedAvg-with-local-test-config.json      # FedAvg + 客户端测试
├── FedBN-config.json                       # FedBN
├── FedBuff-config.json                     # FedBuff
├── FedDL-config.json                       # FedDL
├── FedLC-config.json                       # FedLC
├── FedNova-config.json                     # FedNova
├── FedProx-config.json                     # FedProx
├── MSTEPAsync-config.json                  # MSTEPAsync
├── TWAFL-config.json                       # TWAFL
├── config.json                             # 默认配置(FedAvg)
├── dataset_config
│   ├── CIFAR10-config.json                 # CIFAR10 + FedAvg
│   ├── CIFAR100-config.json                # CIFAR100 + FedAvg
│   ├── PAMAP2-config.json                  # PAMAP2 + FedAvg
│   ├── SVHN-config.json                    # SVHN + FedAvg
│   └── UCIHAR-config.json                  # UCIHAR + FedAvg
├── model_config
│   ├── ResNet18-config.json                # ResNet18 + CIFAR10 + FedAvg
│   └── ResNet50-config.json                # ResNet50 + CIFAR10 + FedAvg
└── non-iid_config
    └── FedAsync-config.json                # FedAsync + noniid-0.5