no code implementations • 3 May 2023 • Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
As part of the training, the parties wish to remove unimportant features in the system to improve generalization, efficiency, and explainability.
no code implementations • 16 Dec 2022 • Ambrish Rawat, Giulio Zizzo, Swanand Kadhe, Jonathan P. Epperlein, Stefano Braghin
In this work, we devise robust and efficient learning protocols for orchestrating a Federated Learning (FL) process for the Federated Tumor Segmentation Challenge (FeTS 2022).
1 code implementation • 12 Jul 2022 • Anisa Halimi, Swanand Kadhe, Ambrish Rawat, Nathalie Baracaldo
With privacy legislation empowering the users with the right to be forgotten, it has become essential to make a model amenable for forgetting some of its training data.
no code implementations • NeurIPS 2021 • Divyansh Jhunjhunwala, Ankur Mallick, Advait Gadhikar, Swanand Kadhe, Gauri Joshi
We study the problem of estimating at a central server the mean of a set of vectors distributed across several nodes (one vector per node).
no code implementations • 23 Sep 2020 • Swanand Kadhe, Nived Rajaraman, O. Ozan Koyluoglu, Kannan Ramchandran
In this paper, we propose a secure aggregation protocol, FastSecAgg, that is efficient in terms of computation and communication, and robust to client dropouts.
no code implementations • 14 May 2020 • Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
When a particular code is used in this framework, its block-length determines the computation load, dimension determines the communication overhead, and minimum distance determines the straggler tolerance.
no code implementations • 21 Nov 2019 • Avishek Ghosh, Raj Kumar Maity, Swanand Kadhe, Arya Mazumdar, Kannan Ramchandran
Moreover, we analyze the compressed gradient descent algorithm with error feedback (proposed in \cite{errorfeed}) in a distributed setting and in the presence of Byzantine worker machines.
1 code implementation • 30 Jun 2019 • Narayanan Rengaswamy, Robert Calderbank, Swanand Kadhe, Henry D. Pfister
Furthermore, we show that any circuit that normalizes the stabilizer of the code can be transformed into a circuit that centralizes the stabilizer, while realizing the same logical operation.
Quantum Physics Information Theory Information Theory
no code implementations • 28 Jun 2019 • Swanand Kadhe, Jichan Chung, Kannan Ramchandran
In this paper, we propose an architecture based on 'fountain codes', a class of erasure codes, that enables any full node to 'encode' validated blocks into a small number of 'coded blocks', thereby reducing its storage costs by orders of magnitude.
Cryptography and Security Distributed, Parallel, and Cluster Computing Information Theory Information Theory
no code implementations • 30 Apr 2019 • Swanand Kadhe, O. Ozan Koyluoglu, Kannan Ramchandran
In this work, our goal is to construct approximate gradient codes that are resilient to stragglers selected by a computationally unbounded adversary.
1 code implementation • 21 Mar 2019 • Vipul Gupta, Swanand Kadhe, Thomas Courtade, Michael W. Mahoney, Kannan Ramchandran
Motivated by recent developments in serverless systems for large-scale computation as well as improvements in scalable randomized matrix algorithms, we develop OverSketched Newton, a randomized Hessian-based optimization algorithm to solve large-scale convex optimization problems in serverless systems.
1 code implementation • 19 Mar 2018 • Narayanan Rengaswamy, Robert Calderbank, Swanand Kadhe, Henry D. Pfister
We propose a mathematical framework for synthesizing physical circuits that implement logical Clifford operators for stabilizer codes.
Information Theory Information Theory Quantum Physics 15Axx, 15B10, 20D45, 51A50, 68R01, 68W01, 81R05, 94B05