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cs.DC2026
DynLP: Parallel Dynamic Batch Update for Label Propagation in Semi-Supervised Learning
S M Shovan, Arindam Khanda, S M Ferdous +2
Semi-supervised learning aims to infer class labels using only a small fraction of labeled data. In graph-based semi-supervised learning, this is typically achieved through label p…
cs.DC2025
Anonymized Network Sensing using C++26 std::execution on GPUs
Michael Mandulak, Sayan Ghosh, S M Ferdous +2
Large-scale network sensing plays a vital role in network traffic analysis and characterization. As network packet data grows increasingly large, parallel methods have become mains…
cs.DC2024
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
Reet Barik, Wade Cappa, S M Ferdous +3
Influence maximization--the problem of identifying a subset of k influential seeds (vertices) in a network--is a classical problem in network science with numerous applications. Th…