163 citations · 163 across the 5 of their papers we have counts for
3 papers · 1 filter
Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning
Alireza Moayedikia, Alicia Troncoso Lora, Alicia Trocoso Lora
Sub-model federated learning allows clients with limited memory and compute to join training by optimising width-reduced slices of a shared global network. Established schemes such…
Bridging Training and Merging Through Momentum-Aware Optimization
Alireza Moayedikia, Alicia Troncoso
Training large neural networks and merging task-specific models both exploit low-rank structure and require parameter importance estimation, yet these challenges have been pursued…
Learning based on neurovectors for tabular data: a new neural network approach
J. C. Husillos, A. Gallego, A. Roma +1
In this paper, we present a novel learning approach based on Neurovectors, an innovative paradigm that structures information through interconnected nodes and vector relationships…