2 papers
cs.LG2026
FedChronos: Federated Fine-Tuning of Time-Series Foundation Models for Privacy-Preserving Commodity Price Forecasting
Amit Sharma, Nitin Auluck, Akramul Azim
Time-series foundation models (TSFMs) such as Chronos have demonstrated strong forecasting capabilities across domains, yet adapting them to institutionally fragmented settings, wh…
cs.AI2025
Knowledge Grafting: A Mechanism for Optimizing AI Model Deployment in Resource-Constrained Environments
Osama Almurshed, Ashish Kaushal, Asmail Muftah +2
The increasing adoption of Artificial Intelligence (AI) has led to larger, more complex models with numerous parameters that require substantial computing power -- resources often…