201 citations · 773 across the 31 of their papers we have counts for
37 papers
BEAR: Sketching BFGS Algorithm for Ultra-High Dimensional Feature Selection in Sublinear Memory
Amirali Aghazadeh, Vipul Gupta, Alex DeWeese +2
We consider feature selection for applications in machine learning where the dimensionality of the data is so large that it exceeds the working memory of the (local) computing mach…
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning
Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu +1
Recent attacks on federated learning demonstrate that keeping the training data on clients' devices does not provide sufficient privacy, as the model parameters shared by clients c…
Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning
Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
Distributed implementations of gradient-based methods, wherein a server distributes gradient computations across worker machines, need to overcome two limitations: delays caused by…
On an Equivalence Between Single-Server PIR with Side Information and Locally Recoverable Codes
Swanand Kadhe, Anoosheh Heidarzadeh, Alex Sprintson +1
Private Information Retrieval (PIR) problem has recently attracted a significant interest in the information-theory community. In this problem, a user wants to privately download o…
Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers
Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
Distributed implementations of gradient-based methods, wherein a server distributes gradient computations across worker machines, suffer from slow running machines, called 'straggl…
On the organization of grid and place cells: Neural de-noising via subspace learning
David M. Schwartz, O. Ozan Koyluoglu
Place cells in the hippocampus are active when an animal visits a certain location (referred to as a place field) within an environment. Grid cells in the medial entorhinal cortex…