2 papers
cs.LG2025
Time-Varying Optimization for Streaming Data Via Temporal Weighting
Muhammad Faraz Ul Abrar, Nicolò Michelusi, Erik G. Larsson
Classical optimization theory deals with fixed, time-invariant objective functions. However, time-varying optimization has emerged as an important subject for decision-making in dy…
eess.SP2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework
Erik G. Larsson, Nicolo Michelusi
The decentralized gradient descent (DGD) algorithm, and its sibling, diffusion, are workhorses in decentralized machine learning, distributed inference and estimation, and multi-ag…