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cs.DS2026
Competitive Random-Order Correlation k-Clustering
Mahsa Derakhshan, Andisheh Ghasemi, Rajmohan Rajaraman +2
Correlation clustering has been extensively studied over the last two decades in many different computational models owing to its wide-ranging practical applications. The goal is t…
cs.NI2026
On Topology's Role in ML Training Performance
Sarah McClure, Tegan Wilson, Brad Karp +4
Modern machine learning training workloads run on large-scale networks of compute accelerators. The networks commonly deployed in these systems are typically variations of two basi…