activity
20232026
most citedPipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Breaking the Secret: Economic Interventions for Combating Collusion in Embodied Multi-Agent Systems

Qi Liu, Xiaohui Chen, Zhihui Zhao +5

Collusion among autonomous agents poses a critical security threat in embodied multi-agent systems (MAS), where coordinated behaviors can deviate from global objectives and lead to…

cs.CR2025

SMTFL: Secure Model Training to Untrusted Participants in Federated Learning

Zhihui Zhao, Xiaorong Dong, Yimo Ren +4

Federated learning is an essential distributed model training technique. However, threats such as gradient inversion attacks and poisoning attacks pose significant risks to the pri…

cs.SE2024

TransferFuzz: Fuzzing with Historical Trace for Verifying Propagated Vulnerability Code

Siyuan Li, Yuekang Li, Zuxin Chen +5

Code reuse in software development frequently facilitates the spread of vulnerabilities, making the scope of affected software in CVE reports imprecise. Traditional methods primari…

cs.CR2024

AutoFirm: Automatically Identifying Reused Libraries inside IoT Firmware at Large-Scale

YongLe Chen, Feng Ma, Ying Zhang +3

The Internet of Things (IoT) has become indispensable to our daily lives and work. Unfortunately, developers often reuse software libraries in the IoT firmware, leading to a major…

cs.LG2023★ 1 cited

PipeOptim: Ensuring Effective 1F1B Schedule with Optimizer-Dependent Weight Prediction

Lei Guan, Dongsheng Li, Yongle Chen +3

Asynchronous pipeline model parallelism with a "1F1B" (one forward, one backward) schedule generates little bubble overhead and always provides quite a high throughput. However, th…