Kumar Kshitij Patel
9 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π Conference Polyglot Β· Silver
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Keyword Champion
(3)
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Research topics
Machine Learning
(9)
Optimization & Theory Β· Machine Learning
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Artificial Intelligence
(4)
Deep Learning
(3)
Learning Paradigms Β· Machine Learning
(3)
Computer Science
(2)
Application Areas
(2)
Core AI
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Learning Types
(2)
Optimization & Theory Β· Deep Learning
(2)
Systems
(2)
Security & Privacy
(1)
Keywords
federated learning
(4)
local sgd
(3)
distributed optimization
(3)
distributed learning
(3)
stochastic gradient descent
(3)
communication efficiency
(3)
mini-batch sgd
(3)
distributed training
(2)
stochastic optimization
(2)
convex optimization
(2)
communication complexity
(2)
diffusion model
(1)
bandit convex optimization
(1)
data heterogeneity
(1)
lower bound
(1)
zeroth-order optimization
(1)
adaptive adversary
(1)
group fairness
(1)
membership inference
(1)
step size
(1)
Papers
Personalized Federated Training of Diffusion Models with Privacy Guarantees
CVPR 2026
Online Combinatorial Optimization with Group Fairness Constraints
IJCAI 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication
COLT 2024
Federated Online and Bandit Convex Optimization
ICML 2023
Towards Optimal Communication Complexity in Distributed Non-Convex Optimization
NeurIPS 2022
Don't Use Large Mini-batches, Use Local SGD
ICLR 2020
Is Local SGD Better than Minibatch SGD?
ICML 2020
Minibatch vs Local SGD for Heterogeneous Distributed Learning
NeurIPS 2020
Communication trade-offs for Local-SGD with large step size
NeurIPS 2019