3 papers
cs.DC2025
FlexP-SFT: A Flexible Aggregation-Free Framework for On-Device Personalized Split Federated Fine-Tuning of LLMs
Jiaxiang Geng, Tianjun Yuan, Pengchao Han +3
To fine-tune large language models (LLMs) over private data, federated learning (FL) has emerged as a promising paradigm. However, the prohibitive memory and communication demands…
cs.DC2025
Phantora: Maximizing Code Reuse in Simulation-based Machine Learning System Performance Estimation
Jianxing Qin, Jingrong Chen, Xinhao Kong +8
Modern machine learning (ML) training workloads place substantial demands on both computational and communication resources. Consequently, accurate performance estimation has becom…
cs.MA2024
Cognitive Insights and Stable Coalition Matching for Fostering Multi-Agent Cooperation
Jiaqi Shao, Tianjun Yuan, Tao Lin +1
Cognitive abilities, such as Theory of Mind (ToM), play a vital role in facilitating cooperation in human social interactions. However, our study reveals that agents with higher To…