Laizhong Cui

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting	2024	Fang Cao Shu Yang Zhengjian Chen Ye Liu Laizhong Cui
+ PDF Chat	Cerberus: Efficient Inference with Adaptive Parallel Decoding and Sequential Knowledge Enhancement	2024	Yuxuan Liu Wenyuan Li Laizhong Cui Hailiang Yang
+ PDF Chat	Mitigating Noise Detriment in Differentially Private Federated Learning with Model Pre-training	2024	Huitong Jin Yipeng Zhou Laizhong Cui Quan Z. Sheng
+ PDF Chat	The Power of Bias: Optimizing Client Selection in Federated Learning with Heterogeneous Differential Privacy	2024	Jiating Ma Yipeng Zhou Qi Li Quan Z. Sheng Laizhong Cui Jiangchuan Liu
+ PDF Chat	Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes	2024	Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu
+ PDF Chat	Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression	2024	Xiaoxin Su Yipeng Zhou Laizhong Cui Song Guo
+ PDF Chat	Optimizing Mobile-Friendly Viewport Prediction for Live 360-Degree Video Streaming	2024	Lei Zhang Tao Long Weizhen Xu Laizhong Cui Jiangchuan Liu
+ PDF Chat	Fed-CVLC: Compressing Federated Learning Communications with Variable-Length Codes	2024	Xiaoxin Su Yipeng Zhou Laizhong Cui John C. S. Lui Jiangchuan Liu
+ PDF Chat	Expediting In-Network Federated Learning by Voting-Based Consensus Model Compression	2024	Xiaoxin Su Yipeng Zhou Laizhong Cui Song Guo
+	DAGC: Data-Volume-Aware Adaptive Sparsification Gradient Compression for Distributed Machine Learning in Mobile Computing	2023	Rongwei Lu Yutong Jiang Yinan Mao Chen Tang Bin Chen Laizhong Cui Zhi Wang
+ PDF Chat	Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources	2022	Dongyuan Su Yipeng Zhou Laizhong Cui
+ PDF Chat	A Fast Blockchain-Based Federated Learning Framework With Compressed Communications	2022	Laizhong Cui Xiaoxin Su Yipeng Zhou
+ PDF Chat	Magic ELF: Image Deraining Meets Association Learning and Transformer	2022	Kui Jiang Zhongyuan Wang Chen Chen Zheng Wang Laizhong Cui Chia‐Wen Lin
+ PDF Chat	Optimal Rate Adaption in Federated Learning with Compressed Communications	2022	Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu
+	Magic ELF: Image Deraining Meets Association Learning and Transformer	2022	Kui Jiang Zhongyuan Wang Chen Chen Zheng Wang Laizhong Cui Chia‐Wen Lin
+	A Fast Blockchain-based Federated Learning Framework with Compressed Communications	2022	Laizhong Cui Xiaoxin Su Yipeng Zhou
+	Boost Decentralized Federated Learning in Vehicular Networks by Diversifying Data Sources	2022	Dongyuan Su Yipeng Zhou Laizhong Cui
+ PDF Chat	Optimal Rate Adaption in Federated Learning with Compressed Communications	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu
+ PDF Chat	Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan
+	Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan
+	Optimal Rate Adaption in Federated Learning with Compressed Communications	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Jiangchuan Liu
+	Two Dimensional Router: Design and Implementation	2019	Shu Yang Laizhong Cui Xinhao Deng Qi Li Yulei Wu Mingwei Xu Dan Wang Jianping Wu
+ PDF Chat	Maximum Multiflow in Wireless Network Coding	2013	Jinyi Zhou Shu‐Tao Xia Yong Jiang Hai-Tao Zheng Laizhong Cui

Common Coauthors

Coauthor	Papers Together
Yipeng Zhou	13
Xiaoxin Su	8
Jiangchuan Liu	7
Song Guo	2
Zheng Wang	2
Chia‐Wen Lin	2
Chen Chen	2
Zhongyuan Wang	2
Kui Jiang	2
Quan Z. Sheng	2
Yipeng Zhou	2
Xiaoxin Su	2
John C. S. Lui	2
Qi Li	2
Xiaoxin Su	1
Ye Liu	1
Wenyuan Li	1
Zhi Wang	1
Dan Wang	1
Bin Chen	1
Lei Zhang	1
Yuxuan Liu	1
Hailiang Yang	1
Mingwei Xu	1
Tao Long	1
Rongwei Lu	1
Weizhen Xu	1
Yi Pan	1
Yong Jiang	1
Shu Yang	1
Yi Pan	1
Yutong Jiang	1
Shu Yang	1
Huitong Jin	1
Jianping Wu	1
Yulei Wu	1
Yinan Mao	1
Hai-Tao Zheng	1
Chen Tang	1
Shu‐Tao Xia	1
Dongyuan Su	1
Dongyuan Su	1
Jinyi Zhou	1
Jiating Ma	1
Xinhao Deng	1
Fang Cao	1
Zhengjian Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Adaptive Federated Learning in Resource Constrained Edge Computing Systems	2019	Shiqiang Wang Tiffany Tuor Theodoros Salonidis Kin K. Leung Christian Makaya Ting He Kevin Chan	6
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	6
+ PDF Chat	Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation	2020	Canh T. Dinh Nguyen H. Tran Minh N. H. Nguyen Choong Seon Hong Wei Bao Albert Y. Zomaya Vincent Gramoli	5
+ 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	5
+ PDF Chat	Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge	2019	Takayuki Nishio Ryo Yonetani	4
+	Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data	2019	Felix Sattler Simon Wiedemann Klaus‐Robert Müller Wojciech Samek	4
+ PDF Chat	Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning	2019	Hao Yu Sen Yang Shenghuo Zhu	4
+	On the Convergence of FedAvg on Non-IID Data	2019	Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang	4
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	4
+	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	3
+	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	2017	Yujun Lin Song Han Huizi Mao Yu Wang William J. Dally	3
+	Distributed Mean Estimation with Limited Communication	2016	Ananda Theertha Suresh Felix X. Yu Sanjiv Kumar H. Brendan McMahan	3
+	Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning	2021	Haibo Yang Minghong Fang Jia Liu	2
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Peter Wu Li Tian Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	2
+ PDF Chat	CFedAvg: Achieving Efficient Communication and Fast Convergence in Non-IID Federated Learning	2021	Haibo Yang Jia Liu Elizabeth Serena Bentley	2
+ PDF Chat	Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach	2020	Pengchao Han Shiqiang Wang Kin K. Leung	2
+ PDF Chat	Federated Learning for Ultra-Reliable Low-Latency V2V Communications	2018	Sumudu Samarakoon Mehdi Bennis Walid Saad Mérouane Debbah	2
+	Federated Learning: Strategies for Improving Communication Efficiency	2016	Jakub Konečný H. Brendan McMahan Felix X. Yu Peter Richtárik Ananda Theertha Suresh Dave Bacon	2
+	Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training	2018	Yujun Lin Song Han Huizi Mao Yu Wang William J. Dally	2
+ PDF Chat	Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan	2
+	LEAF: A Benchmark for Federated Settings	2018	Sebastian Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konečný H. Brendan McMahan Virginia Smith Ameet Talwalkar	2
+	Federated AI for building AI Solutions across Multiple Agencies.	2018	Dinesh Verma Simon Julier Greg Cirincione	2
+ 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	2
+	Federated Learning for Mobile Keyboard Prediction	2018	Andrew Hard Chloé Kiddon Daniel Ramage Françoise Beaufays Hubert Eichner K. Praveen Kumar Rao Rajiv Mathews Sean Augenstein	2
+	An Efficient Statistical-based Gradient Compression Technique for Distributed Training Systems	2021	Ahmed M. Abdelmoniem Ahmed Elzanaty Mohamed‐Slim Alouini Marco Canini	2
+ PDF Chat	Cost-Effective Federated Learning Design	2021	Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas	2
+	Towards Federated Learning at Scale: System Design	2019	Keith Bonawitz Hubert Eichner Wolfgang Grieskamp Dzmitry Huba Alex Ingerman Vladimir Ivanov Chloé Kiddon Jakub Konečný Stefano Mazzocchi H. Brendan McMahan	2
+	Distributed Learning with Compressed Gradient Differences	2019	Konstantin Mishchenko Eduard Gorbunov Martin Takáč Peter Richtárik	2
+	Decentralized Federated Learning: A Segmented Gossip Approach	2019	Chenghao Hu Jingyan Jiang Zhi Wang	2
+	Federated Optimization: Distributed Machine Learning for On-Device Intelligence	2016	Jakub Konečný H. Brendan McMahan Daniel Ramage Peter Richtárik	2
+	Qsparse-Local-SGD: Distributed SGD With Quantization, Sparsification, and Local Computations	2020	Debraj Basu Deepesh Data Can Karakus Suhas Diggavi	2
+ PDF Chat	Client-Edge-Cloud Hierarchical Federated Learning	2020	Lumin Liu Jun Zhang Shenghui Song Khaled B. Letaief	2
+ PDF Chat	Sparse Communication for Distributed Gradient Descent	2017	Alham Fikri Aji Kenneth Heafield	2
+	Layer-wise Adaptive Gradient Sparsification for Distributed Deep Learning with Convergence Guarantees	2019	Shaohuai Shi Zhenheng Tang Qiang Wang Kaiyong Zhao Xiaowen Chu	2
+	Gradient Sparsification for Communication-Efficient Distributed Optimization	2017	Jianqiao Wangni Jialei Wang Liu Ji Tong Zhang	2
+	Striving for Simplicity: The All Convolutional Net	2014	Jost Tobias Springenberg Alexey Dosovitskiy Thomas Brox Martin Riedmiller	2
+	Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent	2017	Xiangru Lian Ce Zhang Zhang Huan Cho‐Jui Hsieh Wei Zhang Ji Liu	1
+	Revisiting Distributed Synchronous SGD	2017	Jianmin Chen Rajat Monga Samy Bengio Rafał Józefowicz	1
+ PDF Chat	C2TCP: A Flexible Cellular TCP to Meet Stringent Delay Requirements	2019	Soheil Abbasloo Yang Xu H. Jonathan Chao	1
+	In-Datacenter Performance Analysis of a Tensor Processing Unit	2017	Norman P. Jouppi Cliff Young Nishant Patil David A. Patterson Gaurav Agrawal Raminder Bajwa S. C. Bates Suresh Bhatia Nan Boden Al Borchers	1
+	ATOMO: Communication-efficient Learning via Atomic Sparsification	2018	Hongyi Wang Scott Sievert Shengchao Liu Zachary Charles Dimitris Papailiopoulos Stephen J. Wright	1
+	Sparsified SGD with Memory	2018	Sebastian U. Stich Jean-Baptiste Cordonnier Martin Jaggi	1
+ PDF Chat	Deep Joint Rain Detection and Removal from a Single Image	2017	Wenhan Yang Robby T. Tan Jiashi Feng Jiaying Liu Zongming Guo Shuicheng Yan	1
+	Resnet in Resnet: Generalizing Residual Architectures	2016	Sasha Targ Diogo Almeida Kevin Lyman	1
+ PDF Chat	Density-Aware Single Image De-raining Using a Multi-stream Dense Network	2018	He Zhang Vishal M. Patel	1
+ PDF Chat	Lightweight Pyramid Networks for Image Deraining	2019	Xueyang Fu Borong Liang Yue Huang Xinghao Ding John Paisley	1
+ PDF Chat	Residual Dense Network for Image Super-Resolution	2018	Yulun Zhang Yapeng Tian Yu Kong Bineng Zhong Yun Fu	1
+ PDF Chat	Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining	2018	Xia Li Jianlong Wu Zhouchen Lin Hong Liu Hongbin Zha	1