270 citations · 1.4k across the 97 of their papers we have counts for
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Functional Connectome of the Human Brain with Total Correlation
Qiang Li, Greg Ver Steeg, Shujian Yu +1
Recent studies proposed the use of Total Correlation to describe functional connectivity among brain regions as a multivariate alternative to conventional pair-wise measures such a…
Towards Sparsified Federated Neuroimaging Models via Weight Pruning
Dimitris Stripelis, Umang Gupta, Nikhil Dhinagar +3
Federated training of large deep neural networks can often be restrictive due to the increasing costs of communicating the updates with increasing model sizes. Various model prunin…
Functional Connectivity via Total Correlation: Analytical results in Visual Areas
Qiang Li, Greg Ver Steeg, Jesus Malo
Recent studies invoke the superiority of the multivariate Total Correlation concept over the conventional pairwise measures of functional connectivity in biological networks. Those…
Formal limitations of sample-wise information-theoretic generalization bounds
Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
Some of the tightest information-theoretic generalization bounds depend on the average information between the learned hypothesis and a single training example. However, these samp…
Secure & Private Federated Neuroimaging
Dimitris Stripelis, Umang Gupta, Hamza Saleem +9
The amount of biomedical data continues to grow rapidly. However, collecting data from multiple sites for joint analysis remains challenging due to security, privacy, and regulator…
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis, Umang Gupta, Greg Ver Steeg +1
To improve federated training of neural networks, we develop FedSparsify, a sparsification strategy based on progressive weight magnitude pruning. Our method has several benefits.…