Category
Data management
Related publications (557)
A Practical Influence Approximation for Privacy-Preserving Data Filtering in Federated Learning
Boi Faltings, Ljubomir Rokvic, Panayiotis Danassis
Federated Learning by nature is susceptible to low-quality, corrupted, or even malicious data that can severely degrade the quality of the learned model. Traditional techniques for data valuation cannot be applied as the data is never revealed. We present ...
2023Lithium tantalate photonic integrated circuits for volume manufacturing
Dataset for the manuscript "Lithium tantalate photonic integrated circuits for volume manufacturing". DOI: 10.1038/s41586-024-07369-1 Contains all raw data and code used to produce the Figures and Extended Data Figures in the manuscript. ...
Zenodo2023Center-aware Adversarial Augmentation for Single Domain Generalization
Domain generalization (DG) aims to learn a model from multiple training (i.e., source) domains that can generalize well to the unseen test (i.e., target) data coming from a different distribution. Single domain generalization (SingleDG) has recently emerge ...
IEEE COMPUTER SOC2023An Annotated Corpus of Tonal Piano Music from the Long 19th Century
Martin Alois Rohrmeier, Fabian Claude Moss, Markus Franz Josef Neuwirth, Johannes Hentschel
We present a dataset of 264 annotated piano pieces of nine composers, composed in the long 19th century (https://doi.org/10.5281/zenodo.7483349). Annotations adhere to the DCML harmony annotation standard and include Roman numerals, phrase boundaries, and ...
Ohio State Univ, Sch Music2023Pollution mask for the continuous corrected particle number concentration data in 1 min time resolution measured in the Swiss aerosol container using a whole air inlet during MOSAiC 2019/2020
Julia Schmale, Andrea Baccarini, Ivo Fabio Beck, Hélène Paule Angot
This dataset contains particle number concentrations and a pollution flag in 1 min time resolution. It is derived by the pollution detection algorithm (PDA, doi:10.5281/zenodo.5761101) based on the corrected particle number concentration data of the CPC377 ...
EPFL Infoscience2023Dielectric metasurfaces and their applications for optical biosensing
Over the past century, our understanding of life has been focused on its most fundamental building blocks: molecules. Biological molecules, such as proteins found in blood, other body fluids, or tissues, are excellent guides to identifying a normal or abno ...
EPFL2023Reinforcement Learning for Joint Design and Control of Battery-PV Systems
Christophe Ballif, Marine Dominique Cauz, Laure-Emmanuelle Perret Aebi
The decentralisation and unpredictability of new renewable energy sources require rethinking our energy system. Data-driven approaches, such as reinforcement learning (RL), have emerged as new control strategies for operating these systems, but they have n ...
2023STREAMING TENSOR TRAIN APPROXIMATION
Tensor trains are a versatile tool to compress and work with high-dimensional data and functions. In this work we introduce the streaming tensor train approximation (STTA), a new class of algorithms for approximating a given tensor ' in the tensor train fo ...
Philadelphia2023impresso Text Reuse at Scale. An interface for the exploration of text reuse data in semantically enriched historical newspapers
Maud Ehrmann, Matteo Romanello
Text Reuse reveals meaningful reiterations of text in large corpora. Humanities researchers use text reuse to study, e.g., the posterior reception of influential texts or to reveal evolving publication practices of historical media. This research is often ...
2023Distributed Optimization with Byzantine Robustness Guarantees
As modern machine learning continues to achieve unprecedented benchmarks, the resource demands to train these advanced models grow drastically. This has led to a paradigm shift towards distributed training. However, the presence of adversariesâwhether ma ...
EPFL2023