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Chaoyang He — most-cited papers & profile · Federated Learning
← authors
·
overview
Chaoyang He
22
papers ·
1173
citations ·
24
h-index
Chengdu University of Technology · China Metallurgical Geology Bureau · Changchun Institute of Technology · Geological Exploration Institute of Shandong Zhengyuan
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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
Central Server Free Federated Learning over Single-sided Trust Social Networks
2019 · 62 citations
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning
2021 · 59 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
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
FairFed: Enabling Group Fairness in Federated Learning
2021 · 17 citations
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection
2021 · 12 citations
SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision
2021 · 12 citations
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
2023 · 8 citations
SPIDER: Searching Personalized Neural Architecture for Federated Learning
2021 · 7 citations
Top co-authors
Salman Avestimehr
· 17
Mahdi Soltanolkotabi
· 5
Murali Annavaram
· 4
Sunwoo Lee
· 3
Emir Ceyani
· 2
Erum Mushtaq
· 2
Hongyi Wang
· 2
Jinhyun So
· 2
Keshav Balasubramanian
· 2
Li Shen
· 2
Martin Jaggi
· 2
Mi Zhang
· 2
Topics
Federated Learning
Privacy
Optimization
Data Heterogeneity
Communication
Edge Computing
Security