Fang He

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All published works

Action	Title	Year	Authors
+ PDF Chat	Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning	2024	Rui Liang Yang Deng Donghua Xie Fang He Dan Wang
+ PDF Chat	Mitigating Degree Bias in Signed Graph Neural Networks	2024	Fang He Jinhai Deng Ruizhan Xue Maojun Wang Ze-Yu Zhang
+ PDF Chat	Robotic Sorting Systems: Robot Management and Layout Design Optimization	2024	Tong Zhao Xi Lin Fang He Hanwen Dai
+ PDF Chat	Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization	2023	Heting Liu Fang He Guohong Cao
+	Communication-Efficient Federated Learning for Heterogeneous Edge Devices Based on Adaptive Gradient Quantization	2022	Heting Liu Fang He Guohong Cao
+	Multistep Speed Prediction on Traffic Networks: A Graph Convolutional Sequence-to-Sequence Learning Approach with Attention Mechanism	2018	Zhengchao Zhang Meng Li Lin Xi Yinhai Wang Fang He

Common Coauthors

Coauthor	Papers Together
Heting Liu	2
Guohong Cao	2
Rui Liang	1
Yang Deng	1
Jinhai Deng	1
Maojun Wang	1
Donghua Xie	1
Dan Wang	1
Lin Xi	1
Meng Li	1
Tong Zhao	1
Xi Lin	1
Ze-Yu Zhang	1
Hanwen Dai	1
Zhengchao Zhang	1
Ruizhan Xue	1
Yinhai Wang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Going deeper with convolutions	2015	Christian Szegedy Wei Liu Yangqing Jia Pierre Sermanet Scott Reed Dragomir Anguelov Dumitru Erhan Vincent Vanhoucke Andrew Rabinovich	1
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning	2017	Wei Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Li	1
+	Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms	2017	Xiao Han Kashif Rasul Roland Vollgraf	1
+	Gradient Sparsification for Communication-Efficient Distributed Optimization	2017	Jianqiao Wangni Jialei Wang Liu Ji Tong Zhang	1
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	1
+	Gradient Descent Happens in a Tiny Subspace	2018	Guy Gur-Ari Daniel A. Roberts Ethan Dyer	1
+	On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length	2018	Stanisław Jastrzȩbski Zachary Kenton Nicolas Ballas Asja Fischer Yoshua Bengio Amos Storkey	1
+	PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization	2019	Thijs Vogels Sai Praneeth Karimireddy Martin Jaggi	1
+	Robust Federated Learning in a Heterogeneous Environment	2019	Avishek Ghosh Justin Hong Dong Yin Kannan Ramchandran	1
+	Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization	2019	Farzin Haddadpour Mohammad Mahdi Kamani Mehrdad Mahdavi Viveck R. Cadambe	1
+	FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization	2019	Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani	1
+ PDF Chat	Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning	2019	Xing Zhao Aijun An Junfeng Liu Bao Xin Chen	1
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	1
+ PDF Chat	Federated Learning in Mobile Edge Networks: A Comprehensive Survey	2020	Wei Yang Bryan Lim Nguyen Cong Luong Dinh Thai Hoang Yutao Jiao Ying‐Chang Liang Qiang Yang Dusit Niyato Chunyan Miao	1
+	Adaptive Communication Strategies to Achieve the Best Error-Runtime Trade-off in Local-Update SGD	2018	Jianyu Wang Gauri Joshi	1
+	Towards Federated Learning at Scale: System Design	2019	Kallista Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	1
+	HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients	2020	Enmao Diao Jie Ding Vahid Tarokh	1
+	Optimal Gradient Compression for Distributed and Federated Learning	2020	Alyazeed Albasyoni Mher Safaryan Laurent Condat Peter Richtárik	1
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	1
+ PDF Chat	Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach	2020	Pengchao Han Shiqiang Wang Kin K. Leung	1
+ PDF Chat	To Talk or to Work: Flexible Communication Compression for Energy Efficient Federated Learning over Heterogeneous Mobile Edge Devices	2021	Liang Li Dian Shi Ronghui Hou Hui Li Miao Pan Zhu Han	1
+ PDF Chat	Time-Correlated Sparsification for Communication-Efficient Federated Learning	2021	Emre Özfatura Kerem Özfatura Deniz Gündüz	1
+ PDF Chat	Communication-Efficient Federated Learning with Adaptive Quantization	2022	Yuzhu Mao Zihao Zhao Guangfeng Yan Liu Yang Tian Lan Linqi Song Wenbo Ding	1
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	1
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	1