167 citations · 199 across the 6 of their papers we have counts for
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stat.ML2020★ 1 cited
Byzantine-Resilient High-Dimensional Federated Learning
Deepesh Data, Suhas Diggavi
We study stochastic gradient descent (SGD) with local iterations in the presence of malicious/Byzantine clients, motivated by the federated learning. The clients, instead of commun…
stat.ML2020
Byzantine-Resilient SGD in High Dimensions on Heterogeneous Data
Deepesh Data, Suhas Diggavi
We study distributed stochastic gradient descent (SGD) in the master-worker architecture under Byzantine attacks. We consider the heterogeneous data model, where different workers…