CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models

no code implementations • 25 Feb 2024 • Abhishek Singh, Gauri Gupta, Ritvik Kapila, Yichuan Shi, Alex Dang, Sheshank Shankar, Mohammed Ehab, Ramesh Raskar

Federated Learning (FL) enables collaborative optimization of machine learning models across decentralized data by aggregating model parameters.

Federated Learning

Vaccination Worldwide: Strategies, Distribution and Challenges

no code implementations • 21 Jul 2021 • Chirag Samal, Kasia Jakimowicz, Krishnendu Dasgupta, Aniket Vashishtha, Francisco O., Arunakiry Natarajan, Haris Nazir, Alluri Siddhartha Varma, Tejal Dahake, Amitesh Anand Pandey, Ishaan Singh, John Sangyeob Kim, Mehrab Singh Gill, Saurish Srivastava, Orna Mukhopadhyay, Parth Patwa, Qamil Mirza, Sualeha Irshad, Sheshank Shankar, Rohan Iyer, Rohan Sukumaran, Ashley Mehra, Anshuman Sharma, Abhishek Singh, Maurizio Arseni, Sethuraman T V, Saras Agrawal, Vivek Sharma, Ramesh Raskar

It is a bane of the \"uber connected world that we live in that this virus has affected almost all countries and caused mortality and economic upheaval at a scale whose effects are going to be felt for generations to come.

Can Self Reported Symptoms Predict Daily COVID-19 Cases?

1 code implementation • 18 May 2021 • Parth Patwa, Viswanatha Reddy, Rohan Sukumaran, Sethuraman TV, Eptehal Nashnoush, Sheshank Shankar, Rishemjit Kaur, Abhishek Singh, Ramesh Raskar

The models are developed at two levels of data granularity - local models, which are trained at the state level, and a single global model which is trained on the combined data aggregated across all states.

MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes

no code implementations • 20 Jan 2021 • Joseph Bae, Rohan Sukumaran, Sheshank Shankar, Saurish Srivastava, Rohan Iyer, Aryan Mahindra, Qamil Mirza, Maurizio Arseni, Anshuman Sharma, Saras Agrawal, Orna Mukhopadhyay, Colin Kang, Priyanshi Katiyar, Apurv Shekhar, Sifat Hasan, Krishnendu Dasgupta, Darshan Gandhi, Sethuramen TV, Parth Patwa, Ishaan Singh, Abhishek Singh, Ramesh Raskar

In this early draft, we describe a user-centric, card-based system for vaccine distribution.

Computers and Society Cryptography and Security

COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings

no code implementations • 5 Jan 2021 • Manuel Morales, Rachel Barbar, Darshan Gandhi, Sanskruti Landuge, Joseph Bae, Arpita Vats, Jil Kothari, Sheshank Shankar, Rohan Sukumaran, Himi Mathur, Krutika Misra, Aishwarya Saxena, Parth Patwa, Sethuraman T. V., Maurizio Arseni, Shailesh Advani, Kasia Jakimowicz, Sunaina Anand, Priyanshi Katiyar, Ashley Mehra, Rohan Iyer, Srinidhi Murali, Aryan Mahindra, Mikhail Dmitrienko, Saurish Srivastava, Ananya Gangavarapu, Steve Penrod, Vivek Sharma, Abhishek Singh, Ramesh Raskar

In this work, we discuss challenges complicating the existing covid-19 testing ecosystem and highlight the need to improve the testing experience for the user and reduce privacy invasions.

Computers and Society

COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms

no code implementations • 21 Dec 2020 • Rohan Sukumaran, Parth Patwa, T V Sethuraman, Sheshank Shankar, Rishank Kanaparti, Joseph Bae, Yash Mathur, Abhishek Singh, Ayush Chopra, Myungsun Kang, Priya Ramaswamy, Ramesh Raskar

In this study, we understand trends in the spread of COVID-19 by utilizing the results of self-reported COVID-19 symptoms surveys as an alternative to COVID-19 testing reports.

Time Series Forecasting

Digital Landscape of COVID-19 Testing: Challenges and Opportunities

no code implementations • 3 Dec 2020 • Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar, Alex Radunsky, Sunaina Anand, Shailesh Advani, Jil Kothari, Kasia Jakimowicz, Sheshank Shankar, Sethuraman T. V., Krutika Misra, Aishwarya Saxena, Sanskruti Landage, Richa Sonker, Parth Patwa, Aryan Mahindra, Mikhail Dmitrienko, Kanishka Vaish, Ashley Mehra, Srinidhi Murali, Rohan Iyer, Joseph Bae, Vivek Sharma, Abhishek Singh, Rachel Barbar, Ramesh Raskar

We summarize the challenges experienced using these tools in terms of quality of information, privacy, and user-centric issues.

Computers and Society

Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic

no code implementations • 24 Nov 2020 • Joseph Bae, Darshan Gandhi, Jil Kothari, Sheshank Shankar, Jonah Bae, Parth Patwa, Rohan Sukumaran, Aviral Chharia, Sanjay Adhikesaven, Shloak Rathod, Irene Nandutu, Sethuraman TV, Vanessa Yu, Krutika Misra, Srinidhi Murali, Aishwarya Saxena, Kasia Jakimowicz, Vivek Sharma, Rohan Iyer, Ashley Mehra, Alex Radunsky, Priyanshi Katiyar, Ananthu James, Jyoti Dalal, Sunaina Anand, Shailesh Advani, Jagjit Dhaliwal, Ramesh Raskar

The COVID-19 pandemic has led to a need for widespread and rapid vaccine development.

Clinical Landscape of COVID-19 Testing: Difficult Choices

no code implementations • 9 Nov 2020 • Darshan Gandhi, Sanskruti Landage, Joseph Bae, Sheshank Shankar, Rohan Sukumaran, Parth Patwa, Sethuraman T V, Priyanshi Katiyar, Shailesh Advani, Rohan Iyer, Sunaina Anand, Aryan Mahindra, Rachel Barbar, Abhishek Singh, Ramesh Raskar

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss.

Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing

no code implementations • 4 Sep 2020 • Sheshank Shankar, Rishank Kanaparti, Ayush Chopra, Rohan Sukumaran, Parth Patwa, Myungsun Kang, Abhishek Singh, Kevin P. McPherson, Ramesh Raskar

As we await a vaccine, social-distancing via efficient contact tracing has emerged as the primary health strategy to dampen the spread of COVID-19.

Time Series Time Series Analysis