no code implementations • 13 May 2024 • Sayan Biswas, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
Decentralized learning (DL) faces increased vulnerability to privacy breaches due to sophisticated attacks on machine learning (ML) models.
no code implementations • 15 Apr 2024 • Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulie, Rafael Pires, Rishi Sharma, Martijn de Vos
We theoretically prove the convergence of Shatter and provide a formal analysis demonstrating how Shatter reduces the efficacy of attacks compared to when exchanging full models between participating nodes.
no code implementations • 18 Mar 2024 • Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani
This paper introduces ZIP-DL, a novel privacy-aware decentralized learning (DL) algorithm that relies on adding correlated noise to each model update during the model training process.
1 code implementation • NeurIPS 2023 • Martijn de Vos, Sadegh Farhadkhani, Rachid Guerraoui, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma
We present Epidemic Learning (EL), a simple yet powerful decentralized learning (DL) algorithm that leverages changing communication topologies to achieve faster model convergence compared to conventional DL approaches.
1 code implementation • 7 Jun 2023 • Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger
Decentralized learning (DL) systems have been gaining popularity because they avoid raw data sharing by communicating only model parameters, hence preserving data confidentiality.
1 code implementation • 17 Apr 2023 • Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
Decentralized learning (DL) has gained prominence for its potential benefits in terms of scalability, privacy, and fault tolerance.
no code implementations • 21 Oct 2021 • Mohamed Yassine Boukhari, Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Othmane Safsafi, Rishi Sharma
GeL enables constrained edge devices to perform additional learning through guessed updates on top of gradient-based steps.
no code implementations • 8 Aug 2021 • S J Pawan, Rishi Sharma, Hemanth Sai Ram Reddy, M Vani, Jeny Rajan
However, on the datasets involving complex foreground and background regions such as CIFAR-10, the performance of the capsule network is sub-optimal due to its naive data routing policy and incompetence towards extracting complex features.
1 code implementation • 22 May 2020 • Shreyas Bapat, Ritwik Saha, Bhavya Bhatt, Shilpi Jain, Akshita Jain, Sofía Ortín Vela, Priyanshu Khandelwal, Jyotirmaya Shivottam, Jialin Ma, Gim Seng Ng, Pratyush Kerhalkar, Hrishikesh Sudam Sarode, Rishi Sharma, Manvi Gupta, Divya Gupta, Tushar Tyagi, Tanmay Rustagi, Varun Singh, Saurabh Bansal, Naman Tayal, Abhijeet Manhas, Raphael Reyna, Gaurav Kumar, Govind Dixit, Ratin Kumar, Sashank Mishra, Alpesh Jamgade, Raahul Singh, Rohit Sanjay, Khalid Shaikh, Bhavam Vidyarthi, Shamanth R Nayak K, Vineet Gandham, Nimesh Vashistha, Arnav Das, Saurabh, Shreyas Kalvankar, Ganesh Tarone, Atul Mangat, Suyog Garg, Bibek Gautam, Sitara Srinivasan, Aayush Gautam, Swaastick Kumar Singh, Suyash Salampuria, Zac Yauney, Nihar Gupte, Gagan Shenoy, Micky Yun Chan
Python is a free, easy to use a high-level programming language which has seen a huge expansion in the number of its users and developers in recent years.
General Relativity and Quantum Cosmology Cosmology and Nongalactic Astrophysics Instrumentation and Methods for Astrophysics 83-04
no code implementations • 24 Jul 2018 • Rishi Sharma, Amir Barati Farimani, Joe Gomes, Peter Eastman, Vijay Pande
In typical machine learning tasks and applications, it is necessary to obtain or create large labeled datasets in order to to achieve high performance.
no code implementations • 24 Jul 2018 • Rishi Sharma, Shane Barratt, Stefano Ermon, Vijay Pande
We demonstrate that this strategy is key to obtaining state-of-the-art results in image generation.
no code implementations • ACL 2018 • Rishi Sharma, James Allen, Bakhsh, Omid eh, Nasrin Mostafazadeh
The Story Cloze Test (SCT) is a recent framework for evaluating story comprehension and script learning.
1 code implementation • 18 May 2018 • Shane Barratt, Rishi Sharma
Cross-validation is the workhorse of modern applied statistics and machine learning, as it provides a principled framework for selecting the model that maximizes generalization performance.
no code implementations • 23 Mar 2018 • Amir Barati Farimani, Joseph Gomes, Rishi Sharma, Franklin L. Lee, Vijay S. Pande
Phase segregation, the process by which the components of a binary mixture spontaneously separate, is a key process in the evolution and design of many chemical, mechanical, and biological systems.
8 code implementations • 6 Jan 2018 • Shane Barratt, Rishi Sharma
Deep generative models are powerful tools that have produced impressive results in recent years.