activity
20202026
most citedGradient Obfuscation Gives a False Sense of Security in Federated Learning

13 citations · 32 across the 11 of their papers we have counts for

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Showing 2021Show all

2 papers · 1 filter

cs.LG2021★ 1 cited

Neural Tangent Kernel Empowered Federated Learning

Kai Yue, Richeng Jin, Ryan Pilgrim +3

Federated learning (FL) is a privacy-preserving paradigm where multiple participants jointly solve a machine learning problem without sharing raw data. Unlike traditional distribut…

cs.LG2021★ 1 cited

Federated Learning via Plurality Vote

Kai Yue, Richeng Jin, Chau-Wai Wong +1

Federated learning allows collaborative workers to solve a machine learning problem while preserving data privacy. Recent studies have tackled various challenges in federated learn…