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Ali Ghafelebashi

4 papers hereh-index 365 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • math.OC2
  • cs.LG1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedEfficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models

4 citations · 4 across the 4 of their papers we have counts for

collaborators

4 papers

math.OC2023

Incentive Systems for Fleets of New Mobility Services

Ali Ghafelebashi, Meisam Razaviyayn, Maged Dessouky

Traffic congestion has become an inevitable challenge in large cities due to population increases and expansion of urban areas. Various approaches are introduced to mitigate traffi…

math.OC2022

Congestion Reduction via Personalized Incentives

Ali Ghafelebashi, Meisam Razaviyayn, Maged Dessouky

With rapid population growth and urban development, traffic congestion has become an inescapable issue, especially in large cities. Many congestion reduction strategies have been p…

cs.LG2022

Private Non-Convex Federated Learning Without a Trusted Server

Andrew Lowy, Ali Ghafelebashi, Meisam Razaviyayn

We study federated learning (FL) -- especially cross-silo FL -- with non-convex loss functions and data from people who do not trust the server or other silos. In this setting, eac…

stat.ML2021★ 4 cited

Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models

Babak Barazandeh, Ali Ghafelebashi, Meisam Razaviyayn +1

Mixed linear regression (MLR) model is among the most exemplary statistical tools for modeling non-linear distributions using a mixture of linear models. When the additive noise in…

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