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1. PFLM PFLM Public

   Privacy-preserving federated learning is distributed machine learning where multiple collaborators train a model through protected gradients. To achieve robustness to users dropping out, existing p…

   Jupyter Notebook 31 5

2. Multi-party-Non-repudiation-Protocol-based-on-Blockchain-Technology Multi-party-Non-repudiation-Protocol-based-on-Blockchain-Technology Public

   多方不可否认协议在电子商务和电子邮件等领域都有重要的应用。已知的协议大多依赖可信第三方TTP，但TTP的中心化特性和对可靠性的高要求造成了协议的通信瓶颈。本文利用区块链去中心化特性设计了一种分发不同消息的自适应多方不可否认协议。本文给出了协议的基本假设和符号说明，展示了协议的具体流程，并实现了协议的关键部分，描述了设计决策与实现步骤。同时本文使用形式化分析方法证明出该协议满足公平性、不可否认…

   Python 5

3. 2020-Huya-Program-Technical-Challenge 2020-Huya-Program-Technical-Challenge Public

   2020虎牙小程序技术挑战赛

   Python 3 1

4. AHEAD AHEAD Public

   The implementation of AHEAD

   Python 1 1

5. FIRMER FIRMER Public

   This is an implementation of FIRMER (Efficient and Universal Multi-Device End-to-End Encrypted Communication with Privacy-Preserving Key Transparency)

   Go

6. TPH-UOKM TPH-UOKM Public

   This is an implementation of TPH-UOKM (threshold password-hardening updatable oblivious key management)

   Makefile