38 citations · 45 across the 6 of their papers we have counts for
6 papers
Empowering Data Mesh with Federated Learning
Haoyuan Li, Salman Toor
The evolution of data architecture has seen the rise of data lakes, aiming to solve the bottlenecks of data management and promote intelligent decision-making. However, this centra…
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…
FedBot: Enhancing Privacy in Chatbots with Federated Learning
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor +1
Chatbots are mainly data-driven and usually based on utterances that might be sensitive. However, training deep learning models on shared data can violate user privacy. Such issues…
Accelerating Fair Federated Learning: Adaptive Federated Adam
Li Ju, Tianru Zhang, Salman Toor +1
Federated learning is a distributed and privacy-preserving approach to train a statistical model collaboratively from decentralized data of different parties. However, when dataset…
Proactive Autoscaling for Edge Computing Systems with Kubernetes
Li Ju, Prashant Singh, Salman Toor
With the emergence of the Internet of Things and 5G technologies, the edge computing paradigm is playing increasingly important roles with better availability, latency-control and…
Performance and Stability of the Chelonia Storage Cloud
Jon K. Nilsen, Salman Toor, Zsombor Nagy +2
In this paper we present the Chelonia storage cloud middleware. It was designed to fill the requirements gap between those of large, sophisticated scientific collaborations which h…