FederatedScope聯(lián)邦學(xué)習(xí)平臺

FederatedScope是一個綜合性的聯(lián)邦學(xué)習(xí)平臺，為學(xué)術(shù)界和工業(yè)界的各種聯(lián)邦學(xué)習(xí)任務(wù)提供便捷的使用和靈活的定制。FederatedScope 基于事件驅(qū)動的架構(gòu)，集成了豐富的功能集合以滿足聯(lián)邦學(xué)習(xí)不斷增長的需求，旨在構(gòu)建一個易于使用的平臺，以安全有效地促進(jìn)學(xué)習(xí)。

特點

• 便于使用：允許用戶將自己的組件，包括數(shù)據(jù)集、模型等集成到FederatedScope中，針對特定的應(yīng)用進(jìn)行聯(lián)邦學(xué)習(xí)。
• 事件驅(qū)動：聯(lián)邦學(xué)習(xí)算法通過為參與者定義事件和相應(yīng)的處理程序來模塊化和表達(dá)。

代碼結(jié)構(gòu)： 

FederatedScope
├── federatedscope
│   ├── core           
│   |   ├── workers              # Behaviors of participants (i.e., server and clients)
│   |   ├── trainers             # Details of local training
│   |   ├── aggregators          # Details of federated aggregation
│   |   ├── configs              # Customizable configurations
│   |   ├── monitors             # The monitor module for logging and demonstrating  
│   |   ├── communication.py     # Implementation of communication among participants   
│   |   ├── fed_runner.py        # The runner for building and running an FL course
│   |   ├── ... ..
│   ├── cv                       # Federated learning in CV        
│   ├── nlp                      # Federated learning in NLP          
│   ├── gfl                      # Graph federated learning          
│   ├── autotune                 # Auto-tunning for federated learning         
│   ├── vertical_fl              # Vartical federated learning         
│   ├── contrib                          
│   ├── main.py           
│   ├── ... ...          
├── scripts                      # Scripts for reproducing existing algorithms
├── benchmark                    # We release several benchmarks for convenient and fair comparisons
├── doc                          # For automatic documentation
├── enviornment                  # Installation requirements and provided docker files
├── materials                    # Materials of related topics (e.g., paper lists)
│   ├── notebook                        
│   ├── paper_list                                        
│   ├── tutorial                                       
│   ├── ... ...                                      
├── tests                        # Unittest modules for continuous integration
├── LICENSE
└── setup.py