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Salman Avestimehr — most-cited papers & profile · Multimodal
← authors
·
overview
Salman Avestimehr
65
papers ·
1390
citations ·
32
h-index
University of Southern California · California Southern University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
FedML: A Research Library and Benchmark for Federated Machine Learning
2020 · 358 citations
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
2020 · 191 citations
A Field Guide to Federated Optimization
2021 · 167 citations
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks
2021 · 104 citations
Federated Learning Challenges and Opportunities: An Outlook
2022 · 64 citations
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
2021 · 59 citations
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
2022 · 53 citations
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings
2022 · 53 citations
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
2021 · 42 citations
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
2023 · 37 citations
Towards Non-I.I.D. and Invisible Data with FedNAS: Federated Deep Learning via Neural Architecture Search
2020 · 30 citations
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
2021 · 29 citations
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
2021 · 24 citations
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
2021 · 19 citations
FairFed: Enabling Group Fairness in Federated Learning
2021 · 17 citations
Topics
Federated Learning
Privacy
Optimization
Data Heterogeneity
Edge Computing
Communication
Security
Evaluation
Fine-Tuning
Adversarial ML