4 papers
Apertus 1.5: From Open Text Models to Open Multimodal Reasoners
Project Apertus, :, Yixuan Xu +130
Language models are becoming infrastructure, and infrastructure built in the open, by public institutions, on documented data, is the alternative to dependence on a few providers;…
Optimal Rates for Federated Variational Inequalities under different relaxations of bounded variance assumption
Kirill Novoselov, Yuriy Dorn, Darina Dvinskikh +1
We study how interpolation affects local steps and parallel sampling in monotone variational inequalities (VIs), with workers, oracle calls per worker per round, and ro…
Asking the Crowd the Right Question: Bias-Cancelling Weights for Federated Learning
Ilya Kuruzov, Dmitrii Vishovan, Kirill Novoselov +3
A federated objective is a weighted sum of client risks, and the weights are almost always fixed in advance. We treat them instead as the only instrument of a wisdom-of-crowds mech…
Higher-Order vs. Quadratic Binary Optimization: Which Is Better for Probability Optimization with Tensor Sampling?
Hadi Salloum, Kirill Novoselov, Aleksandr Pochtarev +1
This article explores the comparative strengths of Higher-Order Unconstrained Binary Optimization (HUBO) and Quadratic Unconstrained Binary Optimization (QUBO) models in the contex…