most citedPrivacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems

8 citations · 13 across the 2 of their papers we have counts for

collaborators

5 papers

cs.NI20208 cited

Privacy-Preserving Distributed Learning Framework for 6G Telecom Ecosystems

Pooyan Safari, Behnam Shariati, Johannes Karl Fischer

We present a privacy-preserving distributed learning framework for telecom ecosystems in the 6G-era that enables the vision of shared ownership and governance of ML models, while p…

eess.AS2020

Self-attention encoding and pooling for speaker recognition

Pooyan Safari, Miquel India, Javier Hernando

The computing power of mobile devices limits the end-user applications in terms of storage size, processing, memory and energy consumption. These limitations motivate researchers f…

eess.AS2020

Double Multi-Head Attention for Speaker Verification

Miquel India, Pooyan Safari, Javier Hernando

Most state-of-the-art Deep Learning systems for speaker verification are based on speaker embedding extractors. These architectures are commonly composed of a feature extractor fro…

cs.SD2019

Self Multi-Head Attention for Speaker Recognition

Miquel India, Pooyan Safari, Javier Hernando

Most state-of-the-art Deep Learning (DL) approaches for speaker recognition work on a short utterance level. Given the speech signal, these algorithms extract a sequence of speaker…

cs.CL20195 cited

Towards Recognizing Phrase Translation Processes: Experiments on English-French

Yuming Zhai, Pooyan Safari, Gabriel Illouz +2

When translating phrases (words or group of words), human translators, consciously or not, resort to different translation processes apart from the literal translation, such as Idi…