740 citations · 2.2k across the 43 of their papers we have counts for
53 papers
Privacy-Aware Compression for Federated Data Analysis
Kamalika Chaudhuri, Chuan Guo, Mike Rabbat
Federated data analytics is a framework for distributed data analysis where a server compiles noisy responses from a group of distributed low-bandwidth user devices to estimate agg…
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta +22
This paper explores the environmental impact of the super-linear growth trends for AI from a holistic perspective, spanning Data, Algorithms, and System Hardware. We characterize t…
Stability of Decentralized Gradient Descent in Open Multi-Agent Systems
Julien M. Hendrickx, Michael G. Rabbat
The aim of decentralized gradient descent (DGD) is to minimize a sum of functions held by interconnected agents. We study the stability of DGD in open contexts where agents can…
Advances in Asynchronous Parallel and Distributed Optimization
Mahmoud Assran, Arda Aytekin, Hamid Feyzmahdavian +2
Motivated by large-scale optimization problems arising in the context of machine learning, there have been several advances in the study of asynchronous parallel and distributed op…
Effectiveness of Alter Sampling in Social Networks
Naghmeh Momeni, Michael G. Rabbat
Social networks play a key role in studying various individual and social behaviors. To use social networks in a study, their structural properties must be measured. For offline so…
A Graph-CNN for 3D Point Cloud Classification
Yingxue Zhang, Michael Rabbat
Graph convolutional neural networks (Graph-CNNs) extend traditional CNNs to handle data that is supported on a graph. Major challenges when working with data on graphs are that the…