Peiyao Xiao
6 papers · 2023–2025 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
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Grand Slam
📈
Trend Setter
Venues
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Research topics
Machine Learning
(6)
Optimization & Theory · Machine Learning
(6)
Artificial Intelligence
(4)
Learning Paradigms · Artificial Intelligence
(4)
Mathematics & Optimization
(3)
Learning Paradigms · Machine Learning
(3)
Optimization
(3)
Deep Learning
(2)
Learning Types
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
bilevel optimization
(3)
federated learning
(3)
multi-task learning
(2)
multi-objective optimization
(2)
stochastic optimization
(2)
neural network optimization
(2)
communication efficiency
(2)
federated bilevel optimization
(2)
distributed optimization
(1)
pareto stationary point
(1)
gradient descent
(1)
bilevel optimizer
(1)
hyperparameter tuning
(1)
stochastic gradient descent
(1)
learning theory
(1)
client sampling
(1)
first-order optimization
(1)
stochastic method
(1)
client drift
(1)
finite difference method
(1)
Papers
First-Order Federated Bilevel Learning
AAAI 2025
MGDA Converges under Generalized Smoothness, Provably
ICLR 2025
Achieving O(ε^-1.5) Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
NeurIPS 2023
Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation
ICML 2023
Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms
NeurIPS 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning
NeurIPS 2023