1 citations · 1 across the 4 of their papers we have counts for
4 papers
Federated Learning in Offline and Online EMG Decoding: A Privacy and Performance Perspective
Kai Malcolm, César Uribe, Momona Yamagami
Neural interfaces offer a pathway to intuitive, high-bandwidth interaction, but the sensitive nature of neural data creates significant privacy hurdles for large-scale model traini…
Decentralised convex optimisation with probability-proportional-to-size quantization
Dmitrii Pasechniuk, Pavel Dvurechensky, César A. Uribe +1
Communication is one of the bottlenecks of distributed optimisation and learning. To overcome this bottleneck, we propose a novel quantization method that transforms a vector into…
PIDformer: Transformer Meets Control Theory
Tam Nguyen, César A. Uribe, Tan M. Nguyen +1
In this work, we address two main shortcomings of transformer architectures: input corruption and rank collapse in their output representation. We unveil self-attention as an auton…
Frequentist Guarantees of Distributed (Non)-Bayesian Inference
Bohan Wu, César A. Uribe
Motivated by the need to analyze large, decentralized datasets, distributed Bayesian inference has become a critical research area across multiple fields, including statistics, ele…