3 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…
cs.DC2021
Scheduling Algorithms for Hierarchical Fog Networks
Amanjot Kaur, Nitin Auluck
Fog computing brings the functionality of the cloud near the edge of the network with the help of fog devices/micro data centers (). Job scheduling in such systems is a compl…