4 papers
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…
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…
Distributed Download from an External Data Source in Asynchronous Faulty Settings
John Augustine, Soumyottam Chatterjee, Valerie King +3
The distributedData Retrieval (DR) model consists of peers connected by a complete peer-to-peer communication network, and a trusted external data source that stores an array $…
Distributed Download from an External Data Source in Faulty Majority Settings
John Augustine, Soumyottam Chatterjee, Valerie King +3
We extend the study of retrieval problems in distributed networks, focusing on improving the efficiency and resilience of protocols in the \emph{Data Retrieval (DR) Model}. The DR…