Pramod Varshney
3 papers · 2021–2022 · 2 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 ↓
🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
Venues
Top co-authors
Research topics
Keywords
federated learning
(2)
stochastic optimization
(1)
stochastic gradient descent
(1)
non-convex optimization
(1)
parameter estimation
(1)
robust statistics
(1)
sample complexity
(1)
communication complexity
(1)
minimax optimization
(1)
outlier detection
(1)
gradient descent
(1)
robust estimation
(1)
local updates
(1)
communication efficiency
(1)
client participation
(1)
momentum method
(1)
relu network
(1)
federated minimax optimization
(1)
linear speedup
(1)
nonconvex minimax problem
(1)
Papers
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms
ICML 2022
Learning Distributions Generated by Single-Layer ReLU Networks in the Presence of Arbitrary Outliers
NeurIPS 2022
STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning
NeurIPS 2021