Trump's Justice Department obtained more private communications from third parties, including Apple
A new report of the Office of the Inspector General (OIG) found that President Donald Trump's Department of Justice (DOJ) ...
Tag: private
Boosting Approach in Asynchronous Private Federated Learning
This article was accepted for presentation at the International Workshop on Federated Foundation Models (FL@FM-NeurIPS'24), held in conjunction with NeurIPS ...
Apollo-owned Novolex to take packaging products maker Pactiv private in $6.7 billion deal By Reuters
(Reuters) -Packaging company Novolex will buy rival Pactiv Evergreen in a $6.7 billion deal, as the Apollo Global Management-owned company ...
Private and custom frequency estimation in a federated environment
Motivated by the problem of next word prediction on user devices, we present and study the problem of personalized frequency ...
BlackRock targets private credit growth with $12 billion HPS acquisition By Reuters
By Arasu Kannagi Basil and Davide Barbuscia (Reuters) -BlackRock will buy private credit firm HPS Investment Partners for about $12 ...
Layoffs hit largest US private employer as jobs report looms
Transcription: Conway Gittens: This is Conway Gittens reporting from the New York Stock Exchange. This is what we are seeing ...
Private convex stochastic optimization with heavy tails: quasi-optimization from simple reductions
We study the differentially private convex stochastic optimization (DP-SCO) problem with heavy-tailed gradients, where we assume a kth<annotation encoding="application/x-tex">k^{\text{th}}kth-momentum limit ...
Faster Algorithms for User-Level Private Stochastic Convex Optimization
We study private stochastic convex optimization (SCO) under user-level differential privacy (DP) constraints. In this scenario, there is north<annotation encoding="application/x-tex">northnorth ...
Optimal private density estimation for instances in the Wasserstein distance
Estimating the density of a distribution from samples is a fundamental problem in statistics. In many practical settings, the Wasserstein ...
Private online learning through lazy algorithms
We study the problem of private online learning, specifically, online expert prediction (OPE) and online convex optimization (OCO). We propose ...
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