क्यूआर कोड

A Lightweight Privacy-Enhanced Federated Clustering Algorithm for Edge Computing

In edge computing scenarios, the data generated by distributed devices is characterized by its dispersion, heterogeneity, and privacy sensitivity, posing significant challenges to federated clustering, including high communication overhead, difficulty in adapting to non-IID data, and significant pri...

पूर्ण विवरण

में बचाया:
मुख्य लेखकों: Jun Wang, Xianghua Chen, Xing Cheng, Jiantong Zhang, Tao Yu, Kewei Qian
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI AG 2025-12-01
श्रृंखला:Sensors
विषय:
clustering
edge computing
federated learning
privacy protection
k-means
non-IID
ऑनलाइन पहुंच:https://www.mdpi.com/1424-8220/25/24/7544
टैग: टैग जोड़ें
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!

समान संसाधन