6 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 6 cited
FedVal: Different good or different bad in federated learning
Viktor Valadi, Xinchi Qiu, Pedro Porto Buarque de Gusmão +2
Federated learning (FL) systems are susceptible to attacks from malicious actors who might attempt to corrupt the training model through various poisoning attacks. FL also poses ne…
cs.SD2022★ 1 cited
Match to Win: Analysing Sequences Lengths for Efficient Self-supervised Learning in Speech and Audio
Yan Gao, Javier Fernandez-Marques, Titouan Parcollet +2
Self-supervised learning (SSL) has proven vital in speech and audio-related applications. The paradigm trains a general model on unlabeled data that can later be used to solve spec…