4 papers
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…
DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
Narges Mehran, Zahra Najafabadi Samani, Reza Farahani +2
Reducing energy consumption is essential to lessen greenhouse gas emissions, conserve natural resources, and help mitigate the impacts of climate change. In this direction, edge co…