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Sai Praneeth Karimireddy — most-cited papers & profile · Federated Learning
← authors
·
overview
Sai Praneeth Karimireddy
22
papers ·
1193
citations ·
21
h-index
University of Southern California
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
2019 · 735 citations
A Field Guide to Federated Optimization
2021 · 167 citations
Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning
2020 · 94 citations
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · 53 citations
Secure Byzantine-Robust Machine Learning
2020 · 39 citations
Learning from History for Byzantine Robust Optimization
2020 · 24 citations
Mechanisms that Incentivize Data Sharing in Federated Learning
2022 · 15 citations
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data
2021 · 14 citations
Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing
2020 · 13 citations
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
2022 · 5 citations
Towards Model Agnostic Federated Learning Using Knowledge Distillation
2021 · 4 citations
Byzantine-Robust Decentralized Learning via ClippedGossip
2022 · 4 citations
Federated Conformal Predictors for Distributed Uncertainty Quantification
2023 · 1 citations
Provably Personalized and Robust Federated Learning
2023 · 1 citations
DAVED: Data Acquisition via Experimental Design for Data Markets
2024 · 1 citations
Top co-authors
Martin Jaggi
· 9
Michael I. Jordan
· 6
Lie He
· 5
Sebastian U. Stich
· 4
Ananda Theertha Suresh
· 3
Mehryar Mohri
· 3
Sashank J. Reddi
· 3
Satyen Kale
· 3
Yaodong Yu
· 3
Baihe Huang
· 2
Chaoyang He
· 2
Charles Lu
· 2
Topics
Federated Learning
Data Heterogeneity
Optimization
Communication
Privacy
Security
Adversarial Attacks
stat.ML
Edge Computing
cs.LG