most citedA Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2026

DNative-Twin: Decision Graphs and Digital Twins for Reconstructable Agentic Decisions

Junjie Pang, Zhenzhen Xie, Haoke Han +3

AI agents increasingly gather evidence, invoke tools, apply constraints, and produce decisions that people or software may commit to action. A final output alone cannot show which…

cs.LG2024★ 1 cited

A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments

Ruirui Zhang, Xingze Wu, Yifei Zou +4

The paper studies a fundamental federated learning (FL) problem involving multiple clients with heterogeneous constrained resources. Compared with the numerous training parameters,…