MLSys | yuangang.tech

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

A novel Federated Learning algorithm for spatio-temporal data analysis in urban environments.(SSTDM @ ICDM 2024)

Jiechao Gao, Yuangang Li, Syeda Faiza Ahmed

Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement

Artificial Intelligence-Aided Digital Twin Design: A Systematic Review

A systematic review of AI in enhancing digital twin. (preprint)

Nan Hao, Yuangang Li, Kecheng Liu, Songtao Liu, Yingzhou Lu, ..., Yue Zhao

Artificial Intelligence-Aided Digital Twin Design: A Systematic Review

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning

A communication efficient method for federated learning (ACM MM 2024).

Junkang Liu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Yuangang Li, YunXiang Gong

FedBCGD: Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning

USC/ABLATOR

ABLATOR is a DISTRIBUTED EXECUTION FRAMEWORK designed to enhance ablation studies in complex machine learning models. It automates the process of configuration and conducts multiple experiments in parallel.