Xiaowen Jiang
7 papers · 2023–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(12)
🏆
Grand Slam
👑
Triple Crown
Venues
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Research topics
Keywords
communication complexity
(3)
variance reduction
(2)
convex optimization
(2)
stochastic optimization
(2)
federated learning
(2)
multimodal learning
(1)
distributed learning
(1)
decentralized optimization
(1)
distributed optimization
(1)
adaptive learning rate
(1)
proximal operator
(1)
convergence guarantee
(1)
knowledge graph embedding
(1)
gradient clipping
(1)
adaptive gradient method
(1)
adaptive gradient
(1)
federated optimization
(1)
proximal point method
(1)
client drift
(1)
line search
(1)
Papers
Towards Multimodal Continual Knowledge Embedding with Modality Forgetting Modulation
AAAI 2026
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
ICML 2025
An improved analysis of per-sample and per-update clipping in federated learning
ICLR 2024
Federated Optimization with Doubly Regularized Drift Correction
ICML 2024
Stabilized Proximal-Point Methods for Federated Optimization
NeurIPS 2024
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
NeurIPS 2024
Adaptive SGD with Polyak stepsize and Line-search: Robust Convergence and Variance Reduction
NeurIPS 2023