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Partial Model Averaging in Federated Learning: Performance Guarantees and Benefits


Jan 11, 2022
Sunwoo Lee, Anit Kumar Sahu, Chaoyang He, Salman Avestimehr


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SPIDER: Searching Personalized Neural Architecture for Federated Learning


Dec 27, 2021
Erum Mushtaq, Chaoyang He, Jie Ding, Salman Avestimehr


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AutoCTS: Automated Correlated Time Series Forecasting -- Extended Version


Dec 21, 2021
Xinle Wu, Dalin Zhang, Chenjuan Guo, Chaoyang He, Bin Yang, Christian S. Jensen

* to appear in PVLDB 2022 

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FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks


Nov 22, 2021
Chaoyang He, Alay Dilipbhai Shah, Zhenheng Tang, Di Fan1Adarshan Naiynar Sivashunmugam, Keerti Bhogaraju, Mita Shimpi, Li Shen, Xiaowen Chu, Mahdi Soltanolkotabi, Salman Avestimehr

* Federated Learning for Computer Vision, an application of FedML Ecosystem (fedml.ai) 

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Federated Learning for Internet of Things: Applications, Challenges, and Opportunities


Nov 15, 2021
Tuo Zhang, Lei Gao, Chaoyang He, Mi Zhang, Bhaskar Krishnamachari, Salman Avestimehr


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MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge


Oct 26, 2021
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin

* NeurIPS 2021 Spotlight Paper 

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Layer-wise Adaptive Model Aggregation for Scalable Federated Learning


Oct 19, 2021
Sunwoo Lee, Tuo Zhang, Chaoyang He, Salman Avestimehr


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SSFL: Tackling Label Deficiency in Federated Learning via Personalized Self-Supervision


Oct 06, 2021
Chaoyang He, Zhengyu Yang, Erum Mushtaq, Sunwoo Lee, Mahdi Soltanolkotabi, Salman Avestimehr


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FairFed: Enabling Group Fairness in Federated Learning


Oct 02, 2021
Yahya H. Ezzeldin, Shen Yan, Chaoyang He, Emilio Ferrara, Salman Avestimehr


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LightSecAgg: Rethinking Secure Aggregation in Federated Learning


Sep 29, 2021
Chien-Sheng Yang, Jinhyun So, Chaoyang He, Songze Li, Qian Yu, Salman Avestimehr


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