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20152026
most citedCan You Really Backdoor Federated Learning?

368 citations · 921 across the 28 of their papers we have counts for

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6 papers · 1 filter

cs.DS2024

Coupling without Communication and Drafter-Invariant Speculative Decoding

Majid Daliri, Christopher Musco, Ananda Theertha Suresh

Suppose Alice has a distribution and Bob has a distribution . Alice wants to draw a sample and Bob a sample such that with as high of probabilit…

cs.DS20241 cited

Private federated discovery of out-of-vocabulary words for Gboard

Ziteng Sun, Peter Kairouz, Haicheng Sun +2

The vocabulary of language models in Gboard, Google's keyboard application, plays a crucial role for improving user experience. One way to improve the vocabulary is to discover fre…

cs.DS2023

Mean estimation in the add-remove model of differential privacy

Alex Kulesza, Ananda Theertha Suresh, Yuyan Wang

Differential privacy is often studied under two different models of neighboring datasets: the add-remove model and the swap model. While the swap model is frequently used in the ac…

cs.DS2023

Federated Heavy Hitter Recovery under Linear Sketching

Adria Gascon, Peter Kairouz, Ziteng Sun +1

Motivated by real-life deployments of multi-round federated analytics with secure aggregation, we investigate the fundamental communication-accuracy tradeoffs of the heavy hitter d…

cs.DS2016

Maximum Selection and Sorting with Adversarial Comparators and an Application to Density Estimation

Jayadev Acharya, Moein Falahatgar, Ashkan Jafarpour +2

We study maximum selection and sorting of numbers using pairwise comparators that output the larger of their two inputs if the inputs are more than a given threshold apart, and…

cs.DS20153 cited

Faster Algorithms for Testing under Conditional Sampling

Moein Falahatgar, Ashkan Jafarpour, Alon Orlitsky +2

There has been considerable recent interest in distribution-tests whose run-time and sample requirements are sublinear in the domain-size . We study two of the most important te…