3 papers
cs.IR2025
: Hierarchical Information Extraction via Encoding and Embedding
Tianru Zhang, Li Ju, Prashant Singh +1
Analyzing large-scale datasets, especially involving complex and high-dimensional data like images, is particularly challenging. While self-supervised learning (SSL) has proven eff…
cs.DC2024
Efficient Resource Scheduling for Distributed Infrastructures Using Negotiation Capabilities
Junjie Chu, Prashant Singh, Salman Toor
In the past few decades, the rapid development of information and internet technologies has spawned massive amounts of data and information. The information explosion drives many e…
cs.LG2021
Scalable federated machine learning with FEDn
Morgan Ekmefjord, Addi Ait-Mlouk, Sadi Alawadi +5
Federated machine learning has great promise to overcome the input privacy challenge in machine learning. The appearance of several projects capable of simulating federated learnin…