Search results for "Sparsification"

Hits ?▲	Authors	Title	Venue	Year	Link
15	Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang 0009	Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval.	CoRR	2023	DBLP DOI BibTeX RDF
15	Sajani Vithana, Sennur Ulukus	Private Read-Update-Write with Controllable Information Leakage for Storage-Efficient Federated Learning with Top r Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Yiwei Li, Chien-Wei Huang, Shuai Wang 0033, Chong-Yung Chi, Tony Q. S. Quek	Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Yannic Maus, Saku Peltonen, Jara Uitto	Distributed Symmetry Breaking on Power Graphs via Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Xiaoyu Zhang, Yun-Hui Liu	Efficient Map Sparsification Based on 2D and 3D Discretized Grids.	CoRR	2023	DBLP DOI BibTeX RDF
15	Chien-Chung Huang, François Sellier	Robust Sparsification for Matroid Intersection with Applications.	CoRR	2023	DBLP DOI BibTeX RDF
15	Can Jin, Tianjin Huang, Yihua Zhang, Mykola Pechenizkiy, Sijia Liu 0001, Shiwei Liu, Tianlong Chen	Visual Prompting Upgrades Neural Network Sparsification: A Data-Model Perspective.	CoRR	2023	DBLP DOI BibTeX RDF
15	Azhar Shaikh, Michael Cochez, Denis Diachkov, Michiel de Rijcke, Sahar Yousefi	DONUT-hole: DONUT Sparsification by Harnessing Knowledge and Optimizing Learning Efficiency.	CoRR	2023	DBLP DOI BibTeX RDF
15	Sanjeev Khanna, Aaron (Louie) Putterman, Madhu Sudan 0001	Code Sparsification and its Applications.	CoRR	2023	DBLP DOI BibTeX RDF
15	James O'Neill, Sourav Dutta 0001	Gradient Sparsification For Masked Fine-Tuning of Transformers.	CoRR	2023	DBLP DOI BibTeX RDF
15	Gaotang Li, Marlena Duda, Xiang Zhang 0012, Danai Koutra, Yujun Yan	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.	CoRR	2023	DBLP DOI BibTeX RDF
15	Ming Li, Jun Liu, Hehe Fan, Jiawei Liu, Jiahe Li 0009, Mike Zheng Shou, Jussi Keppo	STPrivacy: Spatio-Temporal Tubelet Sparsification and Anonymization for Privacy-preserving Action Recognition.	CoRR	2023	DBLP DOI BibTeX RDF
15	Zhen Su, Jürgen Kurths, Henning Meyerhenke	Network Sparsification via Degree- and Subgraph-based Edge Sampling.	CoRR	2023	DBLP DOI BibTeX RDF
15	Richeng Jin, Xiaofan He, Caijun Zhong, Zhaoyang Zhang 0001, Tony Q. S. Quek, Huaiyu Dai	Magnitude Matters: Fixing SIGNSGD Through Magnitude-Aware Sparsification in the Presence of Data Heterogeneity.	CoRR	2023	DBLP DOI BibTeX RDF
15	Adrian Edin, Zheng Chen	Over-the-Air Federated Learning with Compressed Sensing: Is Sparsification Necessary?	CoRR	2023	DBLP DOI BibTeX RDF
15	Zhemin Zhang, Xun Gong 0002	Vision Big Bird: Random Sparsification for Full Attention.	CoRR	2023	DBLP DOI BibTeX RDF
15	Yichuan Deng 0002, Sridhar Mahadevan, Zhao Song 0002	Randomized and Deterministic Attention Sparsification Algorithms for Over-parameterized Feature Dimension.	CoRR	2023	DBLP DOI BibTeX RDF
15	Saghar Bagheri, Gene Cheung, Timothy Eadie	Graph Sparsification for GCN Towards Optimal Crop Yield Predictions.	CoRR	2023	DBLP DOI BibTeX RDF
15	Abu Reyan Ahmed, Keaton Hamm, Stephen G. Kobourov, Mohammad Javad Latifi Jebelli, Faryad Darabi Sahneh, Richard Spence	Multi-Priority Graph Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Jinghan Jia, Jiancheng Liu, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu 0001	Model Sparsification Can Simplify Machine Unlearning.	CoRR	2023	DBLP DOI BibTeX RDF
15	Xiaopeng Jiang, Cristian Borcea	Complement Sparsification: Low-Overhead Model Pruning for Federated Learning.	CoRR	2023	DBLP DOI BibTeX RDF
15	AmirMahdi Ahmadinejad, John Peebles, Edward Pyne, Aaron Sidford, Salil P. Vadhan	Singular Value Approximation and Reducing Directed to Undirected Graph Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Mengyu Li, Jun Yu, Tao Li, Cheng Meng	Importance Sparsification for Sinkhorn Algorithm.	CoRR	2023	DBLP DOI BibTeX RDF
15	Jan Niklas Fuhg, Reese E. Jones, Nikolaos Bouklas	Extreme sparsification of physics-augmented neural networks for interpretable model discovery in mechanics.	CoRR	2023	DBLP DOI BibTeX RDF
15	Juncheng Jia, Ji Liu 0003, Chendi Zhou, Hao Tian, Mianxiong Dong, Dejing Dou	Efficient Asynchronous Federated Learning with Sparsification and Quantization.	CoRR	2023	DBLP DOI BibTeX RDF
15	Tasuku Soma, Kam Chuen Tung, Yuichi Yoshida	Online Algorithms for Spectral Hypergraph Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin 0001, Mike Zheng Shou	Making Vision Transformers Efficient from A Token Sparsification View.	CoRR	2023	DBLP DOI BibTeX RDF
15	Maxime Flin, Mohsen Ghaffari 0001, Magnús M. Halldórsson, Fabian Kuhn, Alexandre Nolin	A Distributed Palette Sparsification Theorem.	CoRR	2023	DBLP DOI BibTeX RDF
15	Yotam Kenneth, Robert Krauthgamer	Cut Sparsification and Succinct Representation of Submodular Hypergraphs.	CoRR	2023	DBLP DOI BibTeX RDF
15	Prateek Yadav, Leshem Choshen, Colin Raffel, Mohit Bansal	ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization.	CoRR	2023	DBLP DOI BibTeX RDF
15	Fei Zheng, Chaochao Chen 0001, Lingjuan Lyu, Binhui Yao	Reducing Communication for Split Learning by Randomized Top-k Sparsification.	CoRR	2023	DBLP DOI BibTeX RDF
15	Jannik Kudla, Stanislav Zivný	Sparsification of Monotone k-Submodular Functions of Low Curvature.	CoRR	2023	DBLP DOI BibTeX RDF
15	Fumiyuki Kato, Yang Cao 0011, Masatoshi Yoshikawa	Olive: Oblivious Federated Learning on Trusted Execution Environment Against the Risk of Sparsification. (PDF / PS)	Proc. VLDB Endow.	2023	DBLP DOI BibTeX RDF
15	Yuhan Chen, Haojie Ye, Sanketh Vedula, Alex M. Bronstein, Ronald G. Dreslinski, Trevor N. Mudge, Nishil Talati	Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.	Proc. VLDB Endow.	2023	DBLP BibTeX RDF
15	Yongming Rao, Zuyan Liu, Wenliang Zhao, Jie Zhou 0001, Jiwen Lu	Dynamic Spatial Sparsification for Efficient Vision Transformers and Convolutional Neural Networks.	IEEE Trans. Pattern Anal. Mach. Intell.	2023	DBLP DOI BibTeX RDF
15	Bin Wang 0055, Jun Fang 0001, Hongbin Li 0001, Bing Zeng	Communication-Efficient Federated Learning: A Variance-Reduced Stochastic Approach With Adaptive Sparsification.	IEEE Trans. Signal Process.	2023	DBLP DOI BibTeX RDF
15	Jin-Hyun Ahn, Mehdi Bennis, Joonhyuk Kang	Model Compression via Pattern Shared Sparsification in Analog Federated Learning Under Communication Constraints.	IEEE Trans. Green Commun. Netw.	2023	DBLP DOI BibTeX RDF
15	Xiaohan Lin, Yuan Liu 0001, Fangjiong Chen, Xiaohu Ge, Yang Huang 0001	Joint Gradient Sparsification and Device Scheduling for Federated Learning.	IEEE Trans. Green Commun. Netw.	2023	DBLP DOI BibTeX RDF
15	Hao Zhang 0016, Tingting Wu, Zhifeng Ma, Feng Li, Jie Liu 0001	Dynamic layer-wise sparsification for distributed deep learning.	Future Gener. Comput. Syst.	2023	DBLP DOI BibTeX RDF
15	Gongce Wu, Shukuan Lin, Yilin Zhuang, Jianzhong Qiao	Alleviating over-smoothing via graph sparsification based on vertex feature similarity.	Appl. Intell.	2023	DBLP DOI BibTeX RDF
15	Xiaodong Wang, Yaxiang Huang, Xianxian Zeng, Jianlan Guo, Yuqiang Chen	Learning sparse reparameterization with layer-wise continuous sparsification.	Knowl. Based Syst.	2023	DBLP DOI BibTeX RDF
15	Shiwei Lu, Ruihu Li, Wenbin Liu, Chaofeng Guan, Xiaopeng Yang	Top-k sparsification with secure aggregation for privacy-preserving federated learning.	Comput. Secur.	2023	DBLP DOI BibTeX RDF
15	Rustem Takhanov	The algebraic structure of the densification and the sparsification tasks for CSPs.	Constraints An Int. J.	2023	DBLP DOI BibTeX RDF
15	Sepideh Aghamolaei, Vahideh Keikha, Mohammad Ghodsi, Ali Mohades	Sampling and sparsification for approximating the packedness of trajectories and detecting gatherings.	Int. J. Data Sci. Anal.	2023	DBLP DOI BibTeX RDF
15	Timothy Chu, Yu Gao 0001, Richard Peng, Sushant Sachdeva, Saurabh Sawlani, Junxing Wang	Graph Sparsification, Spectral Sketches, and Faster Resistance Computation via Short Cycle Decompositions.	SIAM J. Comput.	2023	DBLP DOI BibTeX RDF
15	Longfei Zheng, Yingting Liu, Xiaolong Xu 0001, Chaochao Chen 0001, Yuzhou Tang, Lei Wang, Xiaolong Hu	FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning.	CIKM	2023	DBLP DOI BibTeX RDF
15	Robert Krauthgamer, Ron Mosenzon	Exact Flow Sparsification Requires Unbounded Size.	SODA	2023	DBLP DOI BibTeX RDF
15	Yang P. Liu	Vertex Sparsification for Edge Connectivity in Polynomial Time.	ITCS	2023	DBLP DOI BibTeX RDF
15	César Debeunne, Joan Vallvé, Alex Torres, Damien Vivet	Fast Bi-Monocular Visual Odometry Using Factor Graph Sparsification.	IROS	2023	DBLP DOI BibTeX RDF
15	Yuki Nishida 0008	Solving max-plus linear systems by level sparsification.	ACDA	2023	DBLP DOI BibTeX RDF
15	Daegun Yoon, Sangyoon Oh 0001	MiCRO: Near-Zero Cost Gradient Sparsification for Scaling and Accelerating Distributed DNN Training.	HiPC	2023	DBLP DOI BibTeX RDF
15	Shubham Vaishnav, Maria Efthymiou, Sindri Magnússon	Energy-Efficient and Adaptive Gradient Sparsification for Federated Learning.	ICC	2023	DBLP DOI BibTeX RDF
15	Sajani Vithana, Sennur Ulukus	Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification.	ICC	2023	DBLP DOI BibTeX RDF
15	Shaddin Dughmi, Yusuf Hakan Kalayci, Neel Patel	On Sparsification of Stochastic Packing Problems.	ICALP	2023	DBLP DOI BibTeX RDF
15	Kazusato Oko, Shinsaku Sakaue, Shin-ichi Tanigawa	Nearly Tight Spectral Sparsification of Directed Hypergraphs.	ICALP	2023	DBLP DOI BibTeX RDF
15	Kadiray Karakaya, Eric Bodden	Two Sparsification Strategies for Accelerating Demand-Driven Pointer Analysis.	ICST	2023	DBLP DOI BibTeX RDF
15	Gaotang Li, Marlena Duda, Xiang Zhang 0012, Danai Koutra, Yujun Yan	Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.	KDD	2023	DBLP DOI BibTeX RDF
15	Junshen Su, Xijun Wang, Xiang Chen, Ray-Guang Cheng	Joint Sparsification and Quantization for Wireless Federated Learning under Communication Constraints.	SPAWC	2023	DBLP DOI BibTeX RDF
15	Sihui Zheng, Yuhan Dong, Xiang Chen 0007	Efficient Model Compression via Global Sparsification for Over-the-Air Federated Learning.	GLOBECOM (Workshops)	2023	DBLP DOI BibTeX RDF
15	Xiaopeng Jiang, Cristian Borcea	Complement Sparsification: Low-Overhead Model Pruning for Federated Learning.	AAAI	2023	DBLP DOI BibTeX RDF
15	Steinar Laenen	One-Shot Neural Network Pruning via Spectral Graph Sparsification.	TAG-ML	2023	DBLP BibTeX RDF
15	Chun Jiang Zhu	Communication-Efficient Distributed Graph Clustering and Sparsification Under Duplication Models.	CIAC	2023	DBLP DOI BibTeX RDF
15	Yannic Maus, Saku Peltonen, Jara Uitto	Distributed Symmetry Breaking on Power Graphs via Sparsification.	PODC	2023	DBLP DOI BibTeX RDF
15	Shuning Chang, Pichao Wang, Ming Lin, Fan Wang, David Junhao Zhang, Rong Jin 0001, Mike Zheng Shou	Making Vision Transformers Efficient from A Token Sparsification View.	CVPR	2023	DBLP DOI BibTeX RDF
15	Xiaoyu Zhang, Yun-Hui Liu	Efficient Map Sparsification Based on 2D and 3D Discretized Grids.	CVPR	2023	DBLP DOI BibTeX RDF
15	Neophytos Charalambides, Alfred O. Hero III	Graph Sparsification by Approximate matrix Multiplication.	SSP	2023	DBLP DOI BibTeX RDF
15	Abu Reyan Ahmed, Keaton Hamm, Stephen G. Kobourov, Mohammad Javad Latifi Jebelli, Faryad Darabi Sahneh, Richard Spence	Multi-priority Graph Sparsification.	IWOCA	2023	DBLP DOI BibTeX RDF
15	Chang Chen, Min Li, Chao Yang	bbTopk: Bandwidth-Aware Sparse Allreduce with Blocked Sparsification for Efficient Distributed Training.	ICDCS	2023	DBLP DOI BibTeX RDF
15	Danlei Zhang, Geming Xia, Yuxuan Liu	AOPT-FL: A Communication-Efficient Federated Learning Method with Clusterd and Sparsification.	ICA3PP (7)	2023	DBLP DOI BibTeX RDF
15	Yifan Qiao, Yingrui Yang, Shanxiu He, Tao Yang 0009	Representation Sparsification with Hybrid Thresholding for Fast SPLADE-based Document Retrieval.	SIGIR	2023	DBLP DOI BibTeX RDF
15	Luca Barbieri, Stefano Savazzi, Sanaz Kianoush, Monica Nicoli, Luigi Serio	A Carbon Tracking Model for Federated Learning: Impact of Quantization and Sparsification.	CAMAD	2023	DBLP DOI BibTeX RDF
15	Lei Zhou, Huidong Liu, Joseph Bae, Junjun He, Dimitris Samaras, Prateek Prasanna	Token Sparsification for Faster Medical Image Segmentation.	IPMI	2023	DBLP DOI BibTeX RDF
15	Guangyao Li, Mingxue Liao, Yongyue Chao, Pin Lv	DenseStream: A Novel Data Representation for Gradient Sparsification in Distributed Synchronous SGD Algorithms.	IJCNN	2023	DBLP DOI BibTeX RDF
15	James O'Neill, Sourav Dutta 0001	Gradient Sparsification For Masked Fine-Tuning of Transformers.	IJCNN	2023	DBLP DOI BibTeX RDF
15	Arun Jambulapati, Yang P. Liu, Aaron Sidford	Chaining, Group Leverage Score Overestimates, and Fast Spectral Hypergraph Sparsification.	STOC	2023	DBLP DOI BibTeX RDF
15	James R. Lee	Spectral Hypergraph Sparsification via Chaining.	STOC	2023	DBLP DOI BibTeX RDF
15	Daegun Yoon, Sangyoon Oh 0001	DEFT: Exploiting Gradient Norm Difference between Model Layers for Scalable Gradient Sparsification.	ICPP	2023	DBLP DOI BibTeX RDF
15	Saghar Bagheri, Gene Cheung, Timothy Eadie	Graph Sparsification for GCN Towards Optimal Crop Yield Predictions.	IGARSS	2023	DBLP DOI BibTeX RDF
15	Sharath Girish, Kamal Gupta 0002, Saurabh Singh, Abhinav Shrivastava	LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.	ICLR	2023	DBLP BibTeX RDF
15	Yufeng Shi, Linfeng Xu 0002, Jianliang Lai, Yifan Ju	A Fast GP Regression Method Using Banded Sparsification of Inverse Covariance.	ICCAIS	2023	DBLP DOI BibTeX RDF
15	Fei Zheng, Chaochao Chen 0001, Lingjuan Lyu, Binhui Yao	Reducing Communication for Split Learning by Randomized Top-k Sparsification.	IJCAI	2023	DBLP DOI BibTeX RDF
15	Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong 0001, Jingyu Peng	Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.	IJCAI	2023	DBLP DOI BibTeX RDF
15	Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang	CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification.	DAC	2023	DBLP DOI BibTeX RDF
15	Xizi Chen, Rui Pan, Xiaomeng Wang, Fengshi Tian, Chi-Ying Tsui	Late Breaking Results: Weight Decay is ALL You Need for Neural Network Sparsification.	DAC	2023	DBLP DOI BibTeX RDF
15	Richeng Jin, Philip Dai, Kaiqi Xiong	Communication-Efficient Federated Learning with Channel-Aware Sparsification over Wireless Networks.	CISS	2023	DBLP DOI BibTeX RDF
15	Sajani Vithana, Sennur Ulukus	Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification.	CISS	2023	DBLP DOI BibTeX RDF
15	Athanasios Glentis Georgoulakis, George Retsinas, Petros Maragos	Feather: An Elegant Solution to Effective DNN Sparsification.	BMVC	2023	DBLP BibTeX RDF
15	Jeong Min Kong, Elvino Sousa	Adaptive Ratio-Based-Threshold Gradient Sparsification Scheme for Federated Learning.	ISNCC	2023	DBLP DOI BibTeX RDF
15	Yu Shao, Ling Chen 0005, Yixin Chen 0001, Wei Liu 0010	Social influence source locating based on network sparsification and stratification.	Expert Syst. Appl.	2022	DBLP DOI BibTeX RDF
15	Haojie Hu, Fang He, Fenggan Zhang, Yao Ding 0010, Xin Wu, Jianwei Zhao 0002, Minli Yao	Unifying Label Propagation and Graph Sparsification for Hyperspectral Image Classification.	IEEE Geosci. Remote. Sens. Lett.	2022	DBLP DOI BibTeX RDF
15	Greg Bodwin	A note on distance-preserving graph sparsification.	Inf. Process. Lett.	2022	DBLP DOI BibTeX RDF
15	Han Yu, Xinping Yi, Giuseppe Caire	Downlink Precoding for DP-UPA FDD Massive MIMO via Multi-Dimensional Active Channel Sparsification.	IEEE Trans. Wirel. Commun.	2022	DBLP DOI BibTeX RDF
15	Liya Zhu, Donghua Jiang 0001, Jiangqun Ni, Xingyuan Wang 0001, Xianwei Rong, Musheer Ahmad 0002	A visually secure image encryption scheme using adaptive-thresholding sparsification compression sensing model and newly-designed memristive chaotic map.	Inf. Sci.	2022	DBLP DOI BibTeX RDF
15	Benjamin Lentz, Christiane Völter, Rainer Martin 0001	Spectral sparsification of speech signals and its interaction with top-down mechanisms in adult cochlear implant users.	Speech Commun.	2022	DBLP DOI BibTeX RDF
15	Samuel M. Greene, Robert J. Webber, Timothy C. Berkelbach, Jonathan Weare	Approximating Matrix Eigenvalues by Subspace Iteration with Repeated Random Sparsification.	SIAM J. Sci. Comput.	2022	DBLP DOI BibTeX RDF
15	Hao Wang 0045, Xiangyu Yang, Yuanming Shi, Jun Lin 0001	A Proximal Iteratively Reweighted Approach for Efficient Network Sparsification.	IEEE Trans. Computers	2022	DBLP DOI BibTeX RDF
15	Prafullkumar Tale	Sparsification lower bound for linear spanners in directed graphs.	Theor. Comput. Sci.	2022	DBLP DOI BibTeX RDF
15	Zaifeng Pan, Feng Zhang 0007, Hourun Li, Chenyang Zhang, Xiaoyong Du 0001, Dong Deng 0001	G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification.	IEEE Trans. Parallel Distributed Syst.	2022	DBLP DOI BibTeX RDF
15	Haozhao Wang, Song Guo 0001, Zhihao Qu, Ruixuan Li 0001, Ziming Liu	Error-Compensated Sparsification for Communication-Efficient Decentralized Training in Edge Environment.	IEEE Trans. Parallel Distributed Syst.	2022	DBLP DOI BibTeX RDF
15	Zhaorui Zhang, Cho-Li Wang	MIPD: An Adaptive Gradient Sparsification Framework for Distributed DNNs Training.	IEEE Trans. Parallel Distributed Syst.	2022	DBLP DOI BibTeX RDF