Concept
Data cap
Related publications (36)
Scalable and Privacy-Preserving Federated Principal Component Analysis
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Joao André Gomes de Sá e Sousa
Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in many data science domains. We address the problem of performing a federated PCA on private data distributed among multiple data providers while ensuring data confi ...
IEEE COMPUTER SOC2023System and method for privacy-preserving distributed training of neural network models on distributed datasets
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Sinem Sav
A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global neural network model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being commun ...
2022Cellular Fronthauling for Data Capacity Increase in Underserved Spaces
The increase in wireless data traffic continues and is a product of several factors. First, new technologies and capabilities enable new use cases for which new products emerge. Then, with the growing user adoption over time, the data traffic is further in ...
EPFL2022System and method for privacy-preserving distributed training of machine learning models on distributed datasets
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Joao André Gomes de Sá e Sousa, Sinem Sav
A computer-implemented method and a distributed computer system (100) for privacy- preserving distributed training of a global model on distributed datasets (DS1 to DSn). The system has a plurality of data providers (DP1 to DPn) being communicatively coupl ...
2021Energy-Efficient Design Techniques for High-Speed Wireline Serial Links
The exponential growth in computing power and multimedia services has caused a tremendous increase in data traffic in recent years. This increase in data traffic brings a strong demand for data bandwidth of electrical input/output (I/O) links and pushes th ...
EPFL2021Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, David Jules Froelicher, Joao André Gomes de Sá e Sousa
Data sharing has become of primary importance in many domains such as big-data analytics, economics and medical research, but remains difficult to achieve when the data are sensitive. In fact, sharing personal information requires individuals' unconditiona ...
2020L'importance croissante de la qualité des temps de déplacements
Vincent Kaufmann, Emmanuel Pierre Jean Ravalet, Guillaume Simon Joseph Drevon, Yann Francis Eric Dubois
Bien que la constance du Budget-Temps de Transport (BTT) a longtemps prévalu (Zahavi et Talvitie 1980), des travaux récents indiquent une augmentation substantielle du BTT. En effet, les personnes semblent en moyenne, consacrer de plus en plus de temps à l ...
MetisPresses2019System and method for providing a collective decentralized authority for sharing sensitive data
Jean-Pierre Hubaux, Bryan Alexander Ford, Jean Louis Raisaro, Zhicong Huang, Patricia Egger
A method of sharing private and/or sensitive data from plurality of data providers to a data user, the data user having a private key and a public key, the method comprising the steps of providing a first data set and encrypting the first data set at a ter ...
2018Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints
Boi Faltings, Andreas Krause, Goran Radanovic
We study a problem of optimal information gathering from multiple data providers that need to be incentivized to provide accurate information. This problem arises in many real world applications that rely on crowdsourced data sets, but where the process of ...
ASSOC ADVANCEMENT ARTIFICIAL INTELLIGENCE2018Full Discrete Modeling, Controller Design, and Sensitivity Analysis for High-Performance Grid-Forming Converters in Islanded Microgrids
Francisco Daniel Freijedo Fernández, Federico De Bosio
Recent works have shown that the state-feedback decoupling of capacitor voltage allows for drastic bandwidth enlarging of current controllers for grid-forming converters in islanded microgrids. Furthermore, Smith predictor and lead compensation have been a ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2018