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

no code implementations • 25 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 implementations • 26 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