Christopher Brinton
11 papers · 2022–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (17) π Triple Crown
β‘
Prolific Year Β· Productive
ποΈ
Keyword Collector
(53)
π
Trend Setter
π
Century Club Β· Bronze
β
The Questioner
(2)
Top co-authors
Research topics
Machine Learning
(10)
Artificial Intelligence
(8)
Learning Paradigms
(7)
Deep Learning
(6)
Application Areas
(5)
Optimization & Theory
(5)
Techniques
(4)
Reinforcement Learning
(2)
Learning Types Β· Machine Learning
(2)
Methods
(2)
Computer Vision
(1)
Core AI
(1)
Core Methods
(1)
Learning Types Β· Deep Learning
(1)
Models
(1)
Keywords
federated learning
(5)
data heterogeneity
(2)
convergence analysis
(2)
distributed learning
(2)
sample complexity
(1)
domain adaptation
(1)
domain generalization
(1)
attention mechanism
(1)
adversarial robustness
(1)
natural policy gradient
(1)
model calibration
(1)
gradient descent
(1)
policy gradient
(1)
low-rank approximation
(1)
feature learning
(1)
communication efficiency
(1)
channel coding
(1)
multi-objective optimization
(1)
convolutional neural network
(1)
model compression
(1)
Papers
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis
ICLR 2025
Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees
ICLR 2025
LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
EMNLP 2025
Unlocking the Potential of Model Calibration in Federated Learning
ICLR 2025
Efficient Federated Domain Translation
ICLR 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates
NeurIPS 2023
Learning Lightweight Neural Networks via Channel-Split Recurrent Convolution
WACV 2023
Robust Non-Linear Feedback Coding via Power-Constrained Deep Learning
ICML 2023
StableFDG: Style and Attention Based Learning for Federated Domain Generalization
NeurIPS 2023
Can we Generalize and Distribute Private Representation Learning?
AISTATS 2022
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?
ICLR 2022