Paul Whatmough
6 papers · 2019–2024 · 3 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π£ Hot Topic Early Bird
π
Keyword Champion
Venues
Top co-authors
Research topics
Keywords
model compression
(3)
inference latency
(2)
federated learning
(2)
neural architecture search
(2)
neural architecture
(1)
model pruning
(1)
convolutional neural network
(1)
personalized model
(1)
parameter-efficient fine-tuning
(1)
low-rank adaptation
(1)
edge device
(1)
sparse training
(1)
weight quantization
(1)
edge inference
(1)
sparse adapter
(1)
concept loss
(1)
model sparsity
(1)
memory constraint
(1)
model debiasing
(1)
hybrid learning
(1)
Papers
Sparse High Rank Adapters
NeurIPS 2024
Efficient Edge Inference by Selective Query
ICLR 2023
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units
NeurIPS 2022
Debiasing Model Updates for Improving Personalized Federated Training
ICML 2021
Federated Learning Based on Dynamic Regularization
ICLR 2021
SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers
NeurIPS 2019