12 citations · 43 across the 11 of their papers we have counts for
12 papers
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
Abhishek Singh, Gauri Gupta, Ritvik Kapila +5
Federated Learning (FL) enables collaborative optimization of machine learning models across decentralized data by aggregating model parameters. Our approach extends this concept b…
Vaccination Worldwide: Strategies, Distribution and Challenges
Chirag Samal, Kasia Jakimowicz, Krishnendu Dasgupta +26
The Coronavirus 2019 (Covid-19) pandemic caused by the SARS-CoV-2 virus represents an unprecedented crisis for our planet. It is a bane of the über connected world that we live in…
Can Self Reported Symptoms Predict Daily COVID-19 Cases?
Parth Patwa, Viswanatha Reddy, Rohan Sukumaran +6
The COVID-19 pandemic has impacted lives and economies across the globe, leading to many deaths. While vaccination is an important intervention, its roll-out is slow and unequal ac…
Mobile Apps Prioritizing Privacy, Efficiency and Equity: A Decentralized Approach to COVID-19 Vaccination Coordination
Joseph Bae, Rohan Sukumaran, Sheshank Shankar +8
In this early draft, we describe a decentralized, app-based approach to COVID-19 vaccine distribution that facilitates zero knowledge verification, dynamic vaccine scheduling, cont…
Paper card-based vs application-based vaccine credentials: a comparison
Aryan Mahindra, Anshuman Sharma, Priyanshi Katiyar +13
In this early draft, we provide an overview on similarities and differences in the implementation of a paper card-based vaccine credential system and an app-based vaccine credentia…
MIT SafePaths Card (MiSaCa): Augmenting Paper Based Vaccination Cards with Printed Codes
Joseph Bae, Rohan Sukumaran, Sheshank Shankar +19
In this early draft, we describe a user-centric, card-based system for vaccine distribution. Our system makes use of digitally signed QR codes and their use for phased vaccine dist…
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms
Rohan Sukumaran, Parth Patwa, T V Sethuraman +9
It is crucial for policymakers to understand the community prevalence of COVID-19 so combative resources can be effectively allocated and prioritized during the COVID-19 pandemic.…
COVID-19 Tests Gone Rogue: Privacy, Efficacy, Mismanagement and Misunderstandings
Manuel Morales, Rachel Barbar, Darshan Gandhi +27
COVID-19 testing, the cornerstone for effective screening and identification of COVID-19 cases, remains paramount as an intervention tool to curb the spread of COVID-19 both at loc…
Digital Landscape of COVID-19 Testing: Challenges and Opportunities
Darshan Gandhi, Rohan Sukumaran, Priyanshi Katiyar +23
The COVID-19 Pandemic has left a devastating trail all over the world, in terms of loss of lives, economic decline, travel restrictions, trade deficit, and collapsing economy inclu…
Challenges of Equitable Vaccine Distribution in the COVID-19 Pandemic
Joseph Bae, Darshan Gandhi, Jil Kothari +25
The COVID-19 pandemic has led to a need for widespread and rapid vaccine development. As several vaccines have recently been approved for human use or are in different stages of de…
Clinical Landscape of COVID-19 Testing: Difficult Choices
Darshan Gandhi, Sanskruti Landage, Joseph Bae +12
The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss. Until definitive preventive or c…
Proximity Sensing: Modeling and Understanding Noisy RSSI-BLE Signals and Other Mobile Sensor Data for Digital Contact Tracing
Sheshank Shankar, Rishank Kanaparti, Ayush Chopra +6
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. To enable efficient digital cont…