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Toward Reproducing Network Research Results Using Large Language Models
Reproducing research results in the networking community is important for both academia and industry.
Switch as a Verifier: Toward Scalable Data Plane Checking via Distributed, On-Device Verification
Data plane verification (DPV) is important for finding network errors.
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions
In this paper, we analyze properties of the WPM and rigorously prove convergence properties of our aggregation mechanism.
Vulcan: Solving the Steiner Tree Problem with Graph Neural Networks and Deep Reinforcement Learning
The core of Vulcan is a novel, compact graph embedding that transforms highdimensional graph structure data (i. e., path-changed information) into a low-dimensional vector representation.
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression
Specifically, in LGC, local gradients from a device is coded into several layers and each layer is sent to the FL server along a different channel.
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