Intelligent edge networks increasingly use blockchain to support trustworthy collaboration among distributed autonomous edge agents. However, dynamic and heterogeneous edge environments expose intelligent edge agents to spam transaction attacks, where adversaries exploit repeated per-hop verification to exhaust limited...
Xi-Jia Lu, Xing-Wei Wang, Qiang He et al.· IEEE Transactions on Network...· 0 citations
As public concern about data privacy continues to grow, federated learning (FL), as a machine learning technique that does not require the disclosure of user raw data, has attracted widespread attention. However, it still has many common problems. The first problem stems from the absence of incentive mechanisms utilize...
Fu-Yuan Xia, Chen-Hao Ying, Xikun Jiang et al.· IEEE transactions on compute...· 0 citations
Networks with highly dynamic data transmission demands and network topologies are common in real world. A fundamental problem in such networks is achieving scalable traffic allocation to maximize long-term total throughput under link capacity constraints. However, state-of-the-art (SOTA) works lack scalability. This is...
Zhaoxing Yang, Guiyun Fan, An-Jie Cao et al.· IEEE Transactions on Network...· 0 citations
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