7 citations · 26 across the 11 of their papers we have counts for
4 papers · 1 filter
Osmotic Learning: A Self-Supervised Paradigm for Decentralized Contextual Data Representation
Mario Colosi, Reza Farahani, Maria Fazio +2
Data within a specific context gains deeper significance beyond its isolated interpretation. In distributed systems, interdependent data sources reveal hidden relationships and lat…
Serverless Everywhere: A Comparative Analysis of WebAssembly Workflows Across Browser, Edge, and Cloud
Mario Colosi, Reza Farahani, Lauri Loven +2
WebAssembly (Wasm) is a binary instruction format that enables portable, sandboxed, and near-native execution across heterogeneous platforms, making it well-suited for serverless w…
Toward Sustainability-Aware LLM Inference on Edge Clusters
Kolichala Rajashekar, Nafiseh Sharghivand, Radu Prodan +1
Large language models (LLMs) require substantial computational resources, leading to significant carbon emissions and operational costs. Although training is energy-intensive, the…
Fiaingen: A financial time series generative method matching real-world data quality
Jože M. Rožanec, Tina Žezlin, Laurentiu Vasiliu +3
Data is vital in enabling machine learning models to advance research and practical applications in finance, where accurate and robust models are essential for investment and tradi…