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researcher

Mohammad Mahdi Rahimi

Daegu Gyeongbuk Institute of Science and Technology (DGIST)

2 papers hereh-index 327 citations7 works total

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

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.LG2
affiliations
  • Daegu Gyeongbuk Institute of Science and Technology (DGIST)
HomepageORCID 0000-0002-6614-4512

identity via Semantic Scholar / OpenAlex

most citedEvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2026

ELSAA: Efficient Low-Rank and Sparse Attention Approximation for Training Transformers

Mahdi Heidari, Mohammad Mahdi Rahimi, Jaekyun Moon

The quadratic N×N attention score matrix remains a central obstacle to extending Transformers to longer input lengths. Existing efficient attention methods usually reduce t…

cs.LG2023★ 4 cited

EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning

Mohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park +2

Federated Learning (FL) is a decentralized machine learning paradigm that enables collaborative model training across dispersed nodes without having to force individual nodes to sh…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.