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cs.LG2024
Robust Regression with Ensembles Communicating over Noisy Channels
Yuval Ben-Hur, Yuval Cassuto
As machine-learning models grow in size, their implementation requirements cannot be met by a single computer system. This observation motivates distributed settings, in which inte…
cs.LG2019
Boosting Classifiers with Noisy Inference
Yongjune Kim, Yuval Cassuto, Lav R. Varshney
We present a principled framework to address resource allocation for realizing boosting algorithms on substrates with communication or computation noise. Boosting classifiers (e.g.…