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Ali Anwar — most-cited papers & profile · Federated Learning
← authors
·
overview
Ali Anwar
22
papers ·
353
citations ·
24
h-index
Twin Cities Orthopedics
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Most-cited papers
IBM Federated Learning: an Enterprise Framework White Paper V0.1
2020 · 112 citations
A Hybrid Approach to Privacy-Preserving Federated Learning
2018 · 72 citations
HybridAlpha: An Efficient Approach for Privacy-Preserving Federated Learning
2019 · 40 citations
FedAT: A High-Performance and Communication-Efficient Federated Learning System with Asynchronous Tiers
2020 · 28 citations
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
2022 · 27 citations
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
2019 · 22 citations
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
2021 · 16 citations
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
2022 · 10 citations
SPATL: Salient Parameter Aggregation and Transfer Learning for Heterogeneous Clients in Federated Learning
2021 · 5 citations
IP-FL: Incentivized and Personalized Federated Learning
2023 · 5 citations
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning
2021 · 3 citations
TiFL: A Tier-based Federated Learning System
2020 · 2 citations
Heterogeneous Federated Learning using Dynamic Model Pruning and Adaptive Gradient
2021 · 2 citations
A Framework for Incentivized Collaborative Learning
2023 · 2 citations
FedDebug: Systematic Debugging for Federated Learning Applications
2023 · 1 citations
Top co-authors
Nathalie Baracaldo
· 9
Heiko Ludwig
· 7
Yi Zhou
· 6
Qi Le
· 3
Runhua Xu
· 3
Ahmad Faraz Khan
· 2
Ahsan Ali
· 2
Ali Jannesari
· 2
Ambrish Rawat
· 2
Mathieu Sinn
· 2
Sixing Yu
· 2
Stacey Truex
· 2
Topics
Federated Learning
Privacy
Optimization
Communication
Data Heterogeneity
Security
Adversarial Attacks
Encryption
Edge Computing