Search Results for author: Swanand Kadhe

Found 12 papers, 4 papers with code

LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning

no code implementations3 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.

feature selection Vertical Federated Learning

Robust Learning Protocol for Federated Tumor Segmentation Challenge

no code implementations16 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).

Federated Learning Tumor Segmentation

Federated Unlearning: How to Efficiently Erase a Client in FL?

1 code implementation12 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.

Federated Learning

Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation

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).

Federated Learning

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

no code implementations23 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.

Federated Learning Privacy Preserving

Communication-Efficient Gradient Coding for Straggler Mitigation in Distributed Learning

no code implementations14 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.

Communication-Efficient and Byzantine-Robust Distributed Learning with Error Feedback

no code implementations21 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.

Logical Clifford Synthesis for Stabilizer Codes

1 code implementation30 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

SeF: A Secure Fountain Architecture for Slashing Storage Costs in Blockchains

no code implementations28 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

Gradient Coding Based on Block Designs for Mitigating Adversarial Stragglers

no code implementations30 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.

OverSketched Newton: Fast Convex Optimization for Serverless Systems

1 code implementation21 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.

Distributed Optimization

Synthesis of Logical Clifford Operators via Symplectic Geometry

1 code implementation19 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

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