research
∙
02/01/2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
In this paper, we question the rationale behind propagating large number...
share
research
∙
09/07/2021
Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling
Federated learning has emerged as a popular technique for distributing m...
research
∙
03/18/2021
Two Timescale Hybrid Federated Learning with Cooperative D2D Local Model Aggregations
Federated learning has emerged as a popular technique for distributing m...
research
∙
10/05/2020
Towards Generalized and Distributed Privacy-Preserving Representation Learning
We study the problem of learning data representations that are private y...
research
∙
07/18/2020
Multi-Stage Hybrid Federated Learning over Large-Scale Wireless Fog Networks
One of the popular methods for distributed machine learning (ML) is fede...
research
∙
04/30/2018
Q-Map: Clinical Concept Mining from Clinical Documents
Over the past decade, there has been a steep rise in the data-driven ana...
research
∙
04/30/2018
