2 papers
eess.SP2026
Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
Ce Zheng, Shiyao Ma, Ke Zhang +2
Federated learning (FL) enables collaborative model training without sharing raw user data, but conventional simulations often rely on unrealistic data partitioning and current use…
cs.MA2025
Tool-RoCo: An Agent-as-Tool Self-organization Large Language Model Benchmark in Multi-robot Cooperation
Ke Zhang, Xiaoning Zhao, Ce Zheng +5
This study proposes Tool-RoCo, a novel benchmark for evaluating large language models (LLMs) in long-term multi-agent cooperation based on RoCo, a multi-robot cooperative benchmark…