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State of Distributed Learning | Report | ScienceToStartup
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Distributed Learning
State of Distributed Learning
3 papers · avg viability 3.7
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Robust Distributed Learning under Resource Constraints: Decentralized Quantile Estimation via (Asynchronous) ADMM
(5.0)
Accelerating Byzantine-Robust Distributed Learning with Compressed Communication via Double Momentum and Variance Reduction
(4.0)
On Gossip Algorithms for Machine Learning with Pairwise Objectives
(2.0)