Zobrazeno 1 - 10
of 8 481
pro vyhledávání: '"MILENKOVIĆ, A."'
Data deduplication, one of the key features of modern Big Data storage devices, is the process of removing replicas of data chunks stored by different users. Despite the importance of deduplication, several drawbacks of the method, such as storage ro
Externí odkaz:
http://arxiv.org/abs/2411.01407
The performance of Transfer Learning (TL) heavily relies on effective pretraining, which demands large datasets and substantial computational resources. As a result, executing TL is often challenging for individual model developers. Federated Learnin
Externí odkaz:
http://arxiv.org/abs/2410.13045
Rank aggregation combines multiple ranked lists into a consensus ranking. In fields like biomedical data sharing, rankings may be distributed and require privacy. This motivates the need for federated rank aggregation protocols, which support distrib
Externí odkaz:
http://arxiv.org/abs/2409.00848
A combinatorial trade is a pair of sets of blocks of elements that can be exchanged while preserving relevant subset intersection constraints. The class of balanced and swap-robust minimal trades was proposed in [1] for exchanging blocks of data chun
Externí odkaz:
http://arxiv.org/abs/2406.11075
Graph neural networks (GNNs) have become instrumental in diverse real-world applications, offering powerful graph learning capabilities for tasks such as social networks and medical data analysis. Despite their successes, GNNs are vulnerable to adver
Externí odkaz:
http://arxiv.org/abs/2406.07917
We provide an overview of the emergence of large language models for scientific computing applications. We highlight use cases that involve natural language processing of scientific documents and specialized languages designed to describe physical sy
Externí odkaz:
http://arxiv.org/abs/2406.07259
A $(1+\varepsilon)\textit{-stretch tree cover}$ of a metric space is a collection of trees, where every pair of points has a $(1+\varepsilon)$-stretch path in one of the trees. The celebrated $\textit{Dumbbell Theorem}$ [Arya et~al. STOC'95] states t
Externí odkaz:
http://arxiv.org/abs/2403.17754
In our problem, we are given access to a number of sequences of nonnegative i.i.d. random variables, whose realizations are observed sequentially. All sequences are of the same finite length. The goal is to pick one element from each sequence in orde
Externí odkaz:
http://arxiv.org/abs/2402.02059
We study the problem of online conditional distribution estimation with \emph{unbounded} label sets under local differential privacy. Let $\mathcal{F}$ be a distribution-valued function class with unbounded label set. We aim at estimating an \emph{un
Externí odkaz:
http://arxiv.org/abs/2402.00315
Autor:
Rana, Vishal, Peng, Jianhao, Pan, Chao, Lyu, Hanbaek, Cheng, Albert, Kim, Minji, Milenkovic, Olgica
Dictionary learning (DL) is commonly used in computational biology to tackle ubiquitous clustering problems due to its conceptual simplicity and relatively low computational complexity. However, DL algorithms produce results that lack interpretabilit
Externí odkaz:
http://arxiv.org/abs/2312.10519