39 citations · 143 across the 12 of their papers we have counts for
3 papers · 1 filter
Performance Weighting for Robust Federated Learning Against Corrupted Sources
Dimitris Stripelis, Marcin Abram, Jose Luis Ambite
Federated Learning has emerged as a dominant computational paradigm for distributed machine learning. Its unique data privacy properties allow us to collaboratively train models wh…
Emulating Quantum Dynamics with Neural Networks via Knowledge Distillation
Yu Yao, Chao Cao, Stephan Haas +3
High-fidelity quantum dynamics emulators can be used to predict the time evolution of complex physical systems. Here, we introduce an efficient training framework for constructing…
Inferring topological transitions in pattern-forming processes with self-supervised learning
Marcin Abram, Keith Burghardt, Greg Ver Steeg +2
The identification and classification of transitions in topological and microstructural regimes in pattern-forming processes are critical for understanding and fabricating microstr…