27 citations · 56 across the 11 of their papers we have counts for
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cs.LG2022★ 27 cited
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…
cs.LG2022
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…