Jiang Hu
3 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
non-convex optimization
(2)
manifold optimization
(2)
stochastic gradient
(1)
composite optimization
(1)
distributed learning
(1)
decentralized optimization
(1)
local updates
(1)
proximal operator
(1)
heterogeneous data
(1)
second-order method
(1)
superlinear convergence
(1)
momentum method
(1)
riemannian gradient
(1)
semismooth newton method
(1)
client drift
(1)
riemannian optimization
(1)
nonconvex composite optimization
(1)
federated learning
(1)
Papers
Decentralized Projected Riemannian Stochastic Recursive Momentum Method for Nonconvex Optimization
AAAI 2025
A projected semismooth Newton method for a class of nonconvex composite programs with strong prox-regularity
JMLR 2024
Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data
NeurIPS 2024