Farshid Varno — accepted AI-conference papers

2022

AdaBest: Minimizing Client Drift in Federated Learning via Adaptive Bias Estimation

Farshid Varno, Marzie Saghayi, Laya Rafiee Sevyeri, Sharut Gupta, Stan Matwin, Mohammad Havaei

ECCV 2022poster

"In Federated Learning (FL), a number of clients or devices collaborate to train a model without sharing their data. Models are optimized locally at each client and further communicated to a central hub for aggregation. While FL is an appealing decentralized training paradigm, heterogeneity among da…

Cited by 26 Source ↗PDF ↗Scholar ↗

2019

Learning to Learn with Conditional Class Dependencies

Xiang Jiang, Mohammad Havaei, Farshid Varno, Gabriel Chartrand, Nicolas Chapados, Stan Matwin

ICLR 2019poster

Neural networks can learn to extract statistical properties from data, but they seldom make use of structured information from the label space to help representation learning. Although some label structure can implicitly be obtained when training on huge amounts of data, in a few-shot learning conte…

Cited by 96 Source ↗PDF ↗Scholar ↗