2 papers
cs.SE2026
ATLAS: A Multi-Agent Framework for Lifting Binary to Canonical Compiler IR
Xiaoao Zhu, Ni Zhang, Jie Ren +4
Lifting stripped, heavily optimized binaries to a canonical, pre-optimization LLVM intermediate representation (IR) is essential for downstream security analysis and legacy softwar…
cs.LG2024
Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
Weihang Chen, Cheng Yang, Jie Ren +2
Real-life deployment of federated Learning (FL) often faces non-IID data, which leads to poor accuracy and slow convergence. Personalized FL (pFL) tackles these issues by tailoring…