Xinwei Zhang
10 papers · 2022–2025 · 3 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+3 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (23) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12) π Renaissance Researcher (5)
π
Conference Polyglot
(3)
π
Triple Crown
π
Century Club
(10)
Conferences
ICML (4)
ICLR (3)
NIPS (3)
Top co-authors
Research topics
Keywords
differential privacy
(3)
federated learning
(3)
convergence analysis
(2)
transfer learning
(1)
computer vision
(1)
self-supervised learning
(1)
model pretraining
(1)
privacy preservation
(1)
deep learning
(1)
distributed optimization
(1)
stochastic control
(1)
linear convergence
(1)
data heterogeneity
(1)
gradient clipping
(1)
foundation model
(1)
gradient noise
(1)
model fine-tuning
(1)
frequency domain
(1)
continual pre-training
(1)
private data protection
(1)
Papers
Addax: Utilizing Zeroth-Order Gradients to Improve Memory Efficiency and Performance of SGD for Fine-Tuning Language Models
ICLR 2025
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction
ICLR 2025
Pre-training Differentially Private Models with Limited Public Data
NIPS 2024
Differentially Private SGD Without Clipping Bias: An Error-Feedback Approach
ICLR 2024
Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
ICML 2024
DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction
NIPS 2024
FedAvg Converges to Zero Training Loss Linearly for Overparameterized Multi-Layer Neural Networks
ICML 2023
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
A Stochastic Multi-Rate Control Framework For Modeling Distributed Optimization Algorithms
ICML 2022
Grow and Merge: A Unified Framework for Continuous Categories Discovery
NIPS 2022