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cs.DC2026
Supervised Distributed Computing: Efficiency and Robustness under a Majority of Adversarial Workers
John Augustine, Henning Hillebrandt, Manish Kumar +2
We consider a recently proposed \emph{supervised distributed computing} paradigm \cite{augustine2025supervised} that extends and refines the standard master-worker paradigm for par…
cs.LG2026
Continuous Fairness On Data Streams
Subhodeep Ghosh, Zhihui Du, Angela Bonifati +3
We study the problem of enforcing continuous group fairness over windows in data streams. We propose a novel fairness model that ensures group fairness at a finer granularity level…