2 papers
cs.LG2025
GLOW: Graph-Language Co-Reasoning for Agentic Workflow Performance Prediction
Wei Guan, Jian Cao, Jinyu Cai +3
Agentic Workflows (AWs) have emerged as a promising paradigm for solving complex tasks. However, the scalability of automating their generation is severely constrained by the high…
cs.LG2025
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
Jianqing Zhang, Xinghao Wu, Yanbing Zhou +7
As AI evolves, collaboration among heterogeneous models helps overcome data scarcity by enabling knowledge transfer across institutions and devices. Traditional Federated Learning…