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CHARLES: Channel-Quality-Adaptive Over-the-Air Federated Learning over Wireless Networks


May 19, 2022
Jiayu Mao , Haibo Yang , Peiwen Qiu , Jia Liu , Aylin Yener


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Over-the-Air Federated Learning with Joint Adaptive Computation and Power Control


May 12, 2022
Haibo Yang , Peiwen Qiu , Jia Liu , Aylin Yener


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Anarchic Federated Learning


Aug 23, 2021
Haibo Yang , Xin Zhang , Prashant Khanduri , Jia Liu


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STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning


Jun 19, 2021
Prashant Khanduri , Pranay Sharma , Haibo Yang , Mingyi Hong , Jia Liu , Ketan Rajawat , Pramod K. Varshney


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CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning


Jun 14, 2021
Haibo Yang , Jia Liu , Elizabeth S. Bentley


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Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning


Feb 25, 2021
Haibo Yang , Minghong Fang , Jia Liu

* Published as a conference paper at ICLR 2021, final version 

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Byzantine-Resilient Stochastic Gradient Descent for Distributed Learning: A Lipschitz-Inspired Coordinate-wise Median Approach


Sep 10, 2019
Haibo Yang , Xin Zhang , Minghong Fang , Jia Liu


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