This paper presents a new generalization error analysis for the Decentra...
In this work, we theoretically study the impact of differential privacy ...
We consider an online estimation problem involving a set of agents. Each...
In this paper, we study differentially private empirical risk minimizati...
Sharing real-world speech utterances is key to the training and deployme...
The widespread of powerful personal devices capable of collecting voice ...
This paper investigates methods to effectively retrieve speaker informat...
Machine learning models can leak information about the data used to trai...
The recently proposed x-vector based anonymization scheme converts any i...
Automatic speech recognition (ASR) is a key technology in many services ...
Speech signals are a rich source of speaker-related information includin...
We study the decentralized machine learning scenario where many users
co...
Consider a set of agents in a peer-to-peer communication network, where ...
We consider a set of learning agents in a collaborative peer-to-peer net...
Generative models for graphs have been typically committed to strong pri...