7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Federated Learning Under Restricted User Availability
Periklis Theodoropoulos, Konstantinos E. Nikolakakis, Dionysis Kalogerias
Federated Learning (FL) is a decentralized machine learning framework that enables collaborative model training while respecting data privacy. In various applications, non-uniform…
cs.LG2023★ 7 cited
Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
Patrik Okanovic, Roger Waleffe, Vasilis Mageirakos +5
Methods for carefully selecting or generating a small set of training data to learn from, i.e., data pruning, coreset selection, and data distillation, have been shown to be effect…