Search Results for author: Haokun Mao

Found 3 papers, 0 papers with code

DAG-ACFL: Asynchronous Clustered Federated Learning based on DAG-DLT

no code implementations25 Aug 2023 Xiaofeng Xue, Haokun Mao, Qiong Li

A tip selection algorithm based on the cosine similarity of model parameters is then designed to aggregate models from clients with similar distributions.

Change Point Detection Federated Learning

An Energy Optimized Specializing DAG Federated Learning based on Event Triggered Communication

no code implementations26 Sep 2022 Xiaofeng Xue, Haokun Mao, Qiong Li, Furong Huang

Specializing Directed Acyclic Graph Federated Learning(SDAGFL) is a new federated learning framework which updates model from the devices with similar data distribution through Directed Acyclic Graph Distributed Ledger Technology (DAG-DLT).

Federated Learning

High performance reconciliation for practical quantum key distribution systems

no code implementations29 Jan 2021 Haokun Mao, Qiong Li, Penglei Hao, Abdullah M. Iliyasu, Ahmed A. Abd El-Latif

Quantum key distribution (QKD) is a promising technique for secure communication based on quantum mechanical principles.

Quantum Physics

Cannot find the paper you are looking for? You can Submit a new open access paper.