The following Media Lab community members participated in the thirty-fourth virtual conference on Neural Information Processing Systems.
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey and Alex 'Sandy' Pentland
Orals & Spotlights Track 20: Social/Adversarial Learning
FedML: A Research Library and Benchmark for Federated Machine Learning
Praneeth Vepakomma, Abhishek Singh, Ramesh Raskar, et al.
Workshop on Scalability, Privacy, and Security in Federated Learning
Contrastive Representation Learning for Electroencephalogram Classification
Mostafa "Neo" Mohsenvand, M.R. Izadi, and Pattie Maes
Machine Learning for Health Workshop
DAMS: Meta-estimation of private sketch data structures for differentially private COVID-19 contact tracing
Praneeth Vepakomma, Subha Nawer Pushpita, and Ramesh Raskar
Privacy Preserving Machine Learning Workshop
Dynamic Channel Pruning for Privacy
Abhishek Singh, Vivek Sharma, Ayush Chopra, Praneeth Vepakomma, Ethan Garza, and Ramesh Raskar
Privacy Preserving Machine Learning Workshop
Uncertainty-Aware Multi-Modal Ensembling for Severity Prediction of Alzheimer's Dementia
Utkarsh Sarawgi, Wazeer Zulfikar, Rishab Khincha, and Pattie Maes
Machine Learning for Health Workshop