Divyansh Jhunjhunwala
4 papers · 2021–2024 · 4 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
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
federated learning
(4)
one-shot learning
(1)
convex optimization
(1)
bayesian inference
(1)
distributed learning
(1)
distributed optimization
(1)
fisher information
(1)
communication efficiency
(1)
estimation error
(1)
spatial correlation
(1)
federated averaging
(1)
client drift
(1)
partial client participation
(1)
temporal correlation
(1)
neural network
(1)
clustering-based variance reduction
(1)
extrapolation method
(1)
sparsified mean estimation
(1)
server step size
(1)
Papers
FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
AISTATS 2024
FedExP: Speeding Up Federated Averaging via Extrapolation
ICLR 2023
Fedvarp: Tackling the variance due to partial client participation in federated learning
UAI 2022
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
NeurIPS 2021