2 papers
cs.CR2026
Decoupled Smart Contract Audits: Lightweight LLM Framework via Distillation and Aggregation
Bagus Rakadyanto Oktavianto Putra, Muhamad Risqi Utama Saputra, Widyawan +1
Smart contracts face critical security challenges that require thorough auditing in decentralized web services. While Large Language Models (LLMs) have shown promise in automated v…
cs.LG2025
FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
Maulidi Adi Prasetia, Muhamad Risqi U. Saputra, Guntur Dharma Putra
Federated Learning (FL) is designed as a decentralized, privacy-preserving machine learning paradigm that enables multiple clients to collaboratively train a model without sharing…