cs.NI · 2026-09-10 · No. 111

Networking and Internet Architecture, 2026-09-10.

3 new papers in cs.NI. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    HybridFLow: SDN-Orchestrated Client Partitioning for Hybrid Federated Learning

    Osama Abu Hamdan, Rabin Pandey, Hao Che, Engin Arslan, Md Arifuzzaman

    cs.NI · cs.LG

    Cross-silo Federated Learning (FL) enables geographically distributed institutions to collaboratively train machine learning models without sharing raw data. In wide-area deployments, however, communication delays often dominate round completion time and exacerbate the straggler effect. Hybrid FL addresses this challenge by combining synchronous and asynchronous client participation, but effective partitioning requires visibility into network...

    arxiv.org/abs/2609.10404 · PDF

  2. 02

    Can AI Agents Deliver Verifiable Network-Wide Outcomes Across Authority Boundaries?

    Tianzhu Zhang, Chih-Kai Huang, Meikang Qiu

    cs.NI · cs.AI · eess.SY

    AI agents are increasingly involved in network automation, where they can initiate configuration changes through mediated operational interfaces and assess the resulting state. Nonetheless, operational networks usually span many devices and administrative domains. Realizing an operator's intent requires coordinating agents with distinct authority scopes that define the resources they can access, the operations they can invoke, and the network...

    arxiv.org/abs/2609.10181 · PDF

  3. 03

    Can AI Agents Detect and Repair Artifact Drift in Network Experiments?

    Tianzhu Zhang, Weichen Tao, Changgang Zheng, Yusheng Zheng, Long Chen, Xiaoyi Fan, Meikang Qiu

    cs.NI · cs.AI · eess.SY

    In recent years, AI agents have evolved into capable assistants that carry out multi-step tasks in digital environments. The network systems community is beginning to explore these capabilities in operational and experimental settings. However, an agent operating in network systems should not be judged solely by whether it completes the immediate task. The experiment record it modifies must also remain trustworthy. We call this property...

    arxiv.org/abs/2609.09849 · PDF

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