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F. Kawsar

38 papers hereh-index 366.7k citations270 works total

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

author position
  • middle author25
  • last author13

Across the 38 of 38 papers where every author was matched, so the position is known.

fields
  • cs.LG21
  • cs.DC3
  • eess.AS3
  • cs.HC2
  • cs.AI1
  • cs.CR1
same name
  • F. Kawsar — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedFLAME: Federated Learning Across Multi-device Environments

48 citations · 179 across the 37 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

cs.HC2025

Listening to the Mind: Earable Acoustic Sensing of Cognitive Load

Xijia Wei, Ting Dang, Khaldoon Al-Naimi +3

Earable acoustic sensing offers a powerful and non-invasive modality for capturing fine-grained auditory and physiological signals directly from the ear canal, enabling continuous…

cs.LG2025

CLEF: Clinically-Guided Contrastive Learning for Electrocardiogram Foundation Models

Yuxuan Shu, Peter H. Charlton, Fahim Kawsar +2

The electrocardiogram (ECG) is a key diagnostic tool in cardiovascular health. Single-lead ECG recording is integrated into both clinical-grade and consumer wearables. While self-s…

cs.LG2025

Contrastive Self-Supervised Learning at the Edge: An Energy Perspective

Fernanda Famá, Roberto Pereira, Charalampos Kalalas +4

While contrastive learning (CL) shows considerable promise in self-supervised representation learning, its deployment on resource-constrained devices remains largely underexplored.…

cs.LG2025

AdaBet: Gradient-free Layer Selection for Efficient Training of Deep Neural Networks

Irene Tenison, Soumyajit Chatterjee, Fahim Kawsar +1

To utilize pre-trained neural networks on edge and mobile devices, we often require efficient adaptation to user-specific runtime data distributions while operating under limited c…

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