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Aaqib Saeed

28 papers hereh-index 191.7k citations49 works total

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

author position
  • sole author2
  • first author8
  • middle author9
  • last author9

Across the 28 of 28 papers where every author was matched, so the position is known.

fields
  • cs.LG16
  • cs.CV4
  • cs.SD4
  • eess.SP2
  • cs.AI1
  • eess.AS1
same name
  • Aaqib Saeed — 19 papers, h 7
  • Aaqib Saeed — 2 papers, h 2

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
20172025
most citedFederated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

104 citations · 275 across the 22 of their papers we have counts for

collaborators
Showing 2024 · cs.LGShow all

3 papers · 2 filters

cs.LG2024★ 2 cited

PedSleepMAE: Generative Model for Multimodal Pediatric Sleep Signals

Saurav R. Pandey, Aaqib Saeed, Harlin Lee

Pediatric sleep is an important but often overlooked area in health informatics. We present PedSleepMAE, a generative model that fully leverages multimodal pediatric sleep signals…

cs.LG2024

Collaboratively Learning Federated Models from Noisy Decentralized Data

Haoyuan Li, Mathias Funk, Nezihe Merve Gürel +1

Federated learning (FL) has emerged as a prominent method for collaboratively training machine learning models using local data from edge devices, all while keeping data decentrali…

cs.LG2024★ 1 cited

Communication-Efficient Federated Learning through Adaptive Weight Clustering and Server-Side Distillation

Vasileios Tsouvalas, Aaqib Saeed, Tanir Ozcelebi +1

Federated Learning (FL) is a promising technique for the collaborative training of deep neural networks across multiple devices while preserving data privacy. Despite its potential…

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