434 citations · 851 across the 20 of their papers we have counts for
4 papers · 1 filter
Phocas: dimensional Byzantine-resilient stochastic gradient descent
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
We propose a novel robust aggregation rule for distributed synchronous Stochastic Gradient Descent~(SGD) under a general Byzantine failure model. The attackers can arbitrarily mani…
Zeno: Distributed Stochastic Gradient Descent with Suspicion-based Fault-tolerance
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
We present Zeno, a technique to make distributed machine learning, particularly Stochastic Gradient Descent (SGD), tolerant to an arbitrary number of faulty workers. Zeno generaliz…
Generalized Byzantine-tolerant SGD
Cong Xie, Oluwasanmi Koyejo, Indranil Gupta
We propose three new robust aggregation rules for distributed synchronous Stochastic Gradient Descent~(SGD) under a general Byzantine failure model. The attackers can arbitrarily m…
Henge: Intent-driven Multi-Tenant Stream Processing
Faria Kalim, Le Xu, Sharanya Bathey +2
We present Henge, a system to support intent-based multi-tenancy in modern stream processing applications. Henge supports multi-tenancy as a first-class citizen: everyone inside an…