27 citations · 56 across the 11 of their papers we have counts for
3 papers · 1 filter
Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +4
With the advent of the IoT, AI, ML, and DL algorithms, the landscape of data-driven medical applications has emerged as a promising avenue for designing robust and scalable diagnos…
COROID: A Crowdsourcing-based Companion Drones to Tackle Current and Future Pandemics
Ashish Rauniyar, Desta Haileselassie Hagos, Debesh Jha +1
Due to the current COVID-19 virus, which has already been declared a pandemic by the World Health Organization (WHO), we are witnessing the greatest pandemic of the decade. Million…
Accelerate Model Parallel Training by Using Efficient Graph Traversal Order in Device Placement
Tianze Wang, Amir H. Payberah, Desta Haileselassie Hagos +1
Modern neural networks require long training to reach decent performance on massive datasets. One common approach to speed up training is model parallelization, where large neural…