Phillip B. Gibbons
5 papers · 2013–2025 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird
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Research topics
Machine Learning
(4)
Application Areas
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Computer Science
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types
(1)
Optimization
(1)
Optimization & Theory Β· Deep Learning
(1)
Processing
(1)
Keywords
distributed learning
(3)
synchronous parallel
(2)
stochastic gradient descent
(1)
object detection
(1)
hierarchical clustering
(1)
distributed optimization
(1)
parallel computing
(1)
communication efficiency
(1)
query optimization
(1)
distributed machine learning
(1)
parameter server
(1)
convergence guarantee
(1)
convolutional neural network
(1)
memory efficiency
(1)
memory optimization
(1)
model offloading
(1)
parallel computation
(1)
language model fine-tuning
(1)
low latency
(1)
video query
(1)
Papers
Practical Offloading for Fine-Tuning LLM on Commodity GPU via Learned Sparse Projectors
AAAI 2025
Federated Learning under Distributed Concept Drift
AISTATS 2023
Focus: Querying Large Video Datasets with Low Latency and Low Cost
OSDI 2018
Gaia: Geo-Distributed Machine Learning Approaching LAN Speeds
NSDI 2017
More Effective Distributed ML via a Stale Synchronous Parallel Parameter Server
NeurIPS 2013