Seyyedali Hosseinalipour
5 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(15)
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Hot Topic Early Bird
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The Questioner
(2)
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Research topics
Machine Learning
(5)
Artificial Intelligence
(4)
Deep Learning
(4)
Learning Paradigms · Artificial Intelligence
(4)
Application Areas
(2)
Learning Types · Machine Learning
(2)
Optimization & Theory
(2)
Techniques
(2)
Core Methods
(1)
Learning Paradigms · Machine Learning
(1)
Learning Types · Deep Learning
(1)
Models
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Keywords
federated learning
(3)
distributed learning
(2)
feature learning
(1)
adversarial robustness
(1)
few-shot learning
(1)
transfer learning
(1)
domain adaptation
(1)
model calibration
(1)
convergence analysis
(1)
low-rank approximation
(1)
gradient descent
(1)
data heterogeneity
(1)
generative adversarial network
(1)
client heterogeneity
(1)
downstream task
(1)
communication overhead
(1)
model update
(1)
confidence estimation
(1)
private representation learning
(1)
principal component
(1)
Papers
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
ICLR 2025
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
AAAI 2025
Unlocking the Potential of Model Calibration in Federated Learning
ICLR 2025
Can we Generalize and Distribute Private Representation Learning?
AISTATS 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
ICLR 2022