Saeed Vahidian

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	CoreInfer: Accelerating Large Language Model Inference with Semantics-Inspired Adaptive Sparse Activation	2024	Qinsi Wang Saeed Vahidian Hancheng Ye Jianyang Gu Jianyi Zhang Yiran Chen
+ PDF Chat	Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning	2024	Vyacheslav Kungurtsev Yuanfang Peng Jianyang Gu Saeed Vahidian Anthony Quinn Fadwa Idlahcen Yiran Chen
+ PDF Chat	Exploring the Impact of Dataset Bias on Dataset Distillation	2024	Yao Lu Jianyang Gu Xuguang Chen Saeed Vahidian Qi Xuan
+	Towards Building The Federatedgpt: Federated Instruction Tuning	2024	Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Guoyin Wang Yiran Chen
+ PDF Chat	Group Distributionally Robust Dataset Distillation with Risk Minimization	2024	Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen
+ PDF Chat	CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction	2023	Umar Khalid Iqbal Hasan Saeed Vahidian Jing Hua Chen Chen
+ PDF Chat	When Do Curricula Work in Federated Learning?	2023	Saeed Vahidian Sreevatsank Kadaveru Woonjoon Baek Weijia Wang Vyacheslav Kungurtsev Chen Chen Mubarak Shah Bill Lin
+ PDF Chat	Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks	2023	Saeed Vahidian Mahdi Morafah Chen Chen Mubarak Shah Bill Lin
+ PDF Chat	Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces	2023	Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chen Chen Mubarak Shah Bill Lin
+ PDF Chat	FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution	2023	Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin
+	Towards Building the Federated GPT: Federated Instruction Tuning	2023	Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Guoyin Wang Yiran Chen
+	CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction	2023	Umar Khalid Iqbal Hasan Saeed Vahidian Jing Hua Chen Chen
+	Efficient Dataset Distillation via Minimax Diffusion	2023	Jianyang Gu Saeed Vahidian Vyacheslav Kungurtsev Haonan Wang Wei Jiang Yang You Yiran Chen
+	Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents	2023	Yuqi Jia Saeed Vahidian Jingwei Sun Jianyi Zhang Vyacheslav Kungurtsev Neil Zhenqiang Gong Yiran Chen
+	FLIS: Clustered Federated Learning via Inference Similarity for Non-IID Data Distribution	2022	Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin
+	Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles Between Client Data Subspaces	2022	Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chen Chen Mubarak Shah Bill Lin
+	Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks	2022	Mahdi Morafah Saeed Vahidian Chen Chen Mubarak Shah Bill Lin
+	Neural Routing in Meta Learning	2022	Jicang Cai Saeed Vahidian Weijia Wang Mohsen Joneidi Bill Lin
+	When Do Curricula Work in Federated Learning?	2022	Saeed Vahidian Sreevatsank Kadaveru Woonjoon Baek Weijia Wang Vyacheslav Kungurtsev Chen Chen Mubarak Shah Bill Lin
+ PDF Chat	Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity	2021	Saeed Vahidian Mahdi Morafah Bill Lin
+	Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity	2021	Saeed Vahidian Mahdi Morafah Bill Lin
+	Unsupervised Meta-Learning through Latent-Space Interpolation in Generative Models	2020	Siavash Khodadadeh Sharare Zehtabian Saeed Vahidian Weijia Wang Bill Yuchen Lin Ladislau Bölöni
+	Data Sampling for Graph Based Unsupervised Learning: Convex and Greedy Optimization	2019	Saeed Vahidian Alexander Cloninger Baharan Mirzasoleiman
+ PDF Chat	On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper	2019	Saeed Vahidian Sajad Hatamnia Benoı̂t Champagne
+	Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples	2019	Saeed Vahidian Baharan Mirzasoleiman Alexander Cloninger
+	On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper	2018	Saeed Vahidian Sajad Hatamnia Benoı̂t Champagne
+	On the Security Analysis of a Cooperative Incremental Relaying Protocol in the Presence of an Active Eavesdropper	2018	Saeed Vahidian Sajad Hatamnia Benoı̂t Champagne
+ PDF Chat	A novel low-complexity framework in ultra-wideband imaging for breast cancer detection	2017	Yasaman Ettefagh Mohammad Hossein Yaghmaee Saeed Vahidian
+ PDF Chat	A framework for super-resolution of scalable video via sparse reconstruction of residual frames	2017	Mohammad Hossein Yaghmaee Mohammad Javad Azizipour Saeed Vahidian Besma Smida
+	A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames	2017	Mohammad Hossein Yaghmaee Mohammad Javad Azizipour Saeed Vahidian Besma Smida
+	Power Allocation and Cooperative Diversity in Two-Way Non-Regenerative Cognitive Radio Networks	2017	Saeed Vahidian Maryam Najafi Marzieh Najafi Fawaz S. Al‐Qahtani
+ PDF Chat	Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks	2017	Saeed Vahidian Maryam Najafi Marzieh Najafi Fawaz S. Al‐Qahtani
+	Power Allocation and Cooperative Diversity in Two-Way Non-Regenerative Cognitive Radio Networks	2017	Saeed Vahidian Maryam Najafi Marzieh Najafi Fawaz S. Al‐Qahtani
+	A Novel Low-Complexity Framework in Ultra-Wideband Imaging for Breast Cancer Detection	2017	Yasaman Ettefagh Mohammad Hossein Moghaddam Saeed Vahidian
+	A Framework for Super-Resolution of Scalable Video via Sparse Reconstruction of Residual Frames	2017	Mohammad Hossein Yaghmaee Mohammad Javad Azizipour Saeed Vahidian Besma Smida

Common Coauthors

Coauthor	Papers Together
Vyacheslav Kungurtsev	8
Mahdi Morafah	8
Yiran Chen	7
Weijia Wang	7
Mubarak Shah	6
Chen Chen	6
Bill Lin	6
Bill Lin	5
Jianyang Gu	5
Mohammad Hossein Yaghmaee	4
Sajad Hatamnia	3
Benoı̂t Champagne	3
Fawaz S. Al‐Qahtani	3
Mohammad Javad Azizipour	3
Jianyi Zhang	3
Martin Kuo	2
Umar Khalid	2
Marzieh Najafi	2
Jing Hua	2
Baharan Mirzasoleiman	2
Chunyuan Li	2
Besma Smida	2
Sreevatsank Kadaveru	2
Alexander Cloninger	2
Guoyin Wang	2
Iqbal Hasan	2
Yasaman Ettefagh	2
Maryam Najafi	2
Wei Jiang	2
Woonjoon Baek	2
Jianyi Zhang	1
Chen Chen	1
Neil Zhenqiang Gong	1
Anthony Quinn	1
Bill Yuchen Lin	1
Qi Xuan	1
Mohsen Joneidi	1
Ladislau Bölöni	1
Jicang Cai	1
Qinsi Wang	1
Yuanfang Peng	1
Sharare Zehtabian	1
Weijia Wang	1
Siavash Khodadadeh	1
Maryam Najafi	1
Fadwa Idlahcen	1
Haonan Wang	1
Mingyu Wang	1
Hancheng Ye	1
Chen Chen	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Federated Learning with Non-IID Data	2018	Yue Zhao Meng Li Liangzhen Lai Naveen Suda Damon Civin Vikas Chandra	6
+ PDF Chat	Personalized Federated Learning by Structured and Unstructured Pruning under Data Heterogeneity	2021	Saeed Vahidian Mahdi Morafah Bill Lin	5
+	Three Approaches for Personalization with Applications to Federated Learning	2020	Yishay Mansour Mehryar Mohri Jae Hun Ro Ananda Theertha Suresh	5
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	5
+	Think Locally, Act Globally: Federated Learning with Local and Global Representations	2020	Paul Pu Liang Terrance Liu Ziyin Liu Nicholas B. Allen Randy P. Auerbach David A. Brent Ruslan Salakhutdinov Louis‐Philippe Morency	4
+ PDF Chat	Federated Learning on Non-IID Data Silos: An Experimental Study	2022	Qinbin Li Yiqun Diao Quan Chen Bingsheng He	4
+	Adaptive Personalized Federated Learning	2020	Yuyang Deng Mohammad Mahdi Kamani Mehrdad Mahdavi	4
+ PDF Chat	A simple Cooperative diversity method based on network path selection	2006	Aggelos Bletsas Ashish Khisti David P. Reed Andrew Lippman	3
+	Communication-Efficient Learning of Deep Networks from Decentralized Data	2016	H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson Blaise Agüera y Arcas	3
+ PDF Chat	FLIS: Clustered Federated Learning Via Inference Similarity for Non-IID Data Distribution	2023	Mahdi Morafah Saeed Vahidian Weijia Wang Bill Lin	3
+	Federated Learning of a Mixture of Global and Local Models	2020	Filip Hanzely Peter Richtárik	3
+	Efficient algorithms for agglomerative hierarchical clustering methods	1984	W. H. Day Herbert Edelsbrunner	3
+ PDF Chat	Clustered Federated Learning: Model-Agnostic Distributed Multitask Optimization Under Privacy Constraints	2020	Felix Sattler Klaus‐Robert Müller Wojciech Samek	3
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	3
+ PDF Chat	The Secrecy Capacity of the MIMO Wiretap Channel	2011	Frédérique Oggier Babak Hassibi	2
+ PDF Chat	Optimal Linear Transceiver Designs for Cognitive Two-Way Relay Networks	2012	Rui Wang Meixia Tao Yuan Liu	2
+ PDF Chat	Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces	2023	Saeed Vahidian Mahdi Morafah Weijia Wang Vyacheslav Kungurtsev Chen Chen Mubarak Shah Bill Lin	2
+	Salvaging Federated Learning by Local Adaptation	2020	Changyuan Yu Eugene Bagdasaryan Vitaly Shmatikov	2
+ PDF Chat	ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection	2021	Jihan Yang Shaoshuai Shi Zhe Wang Hongsheng Li Xiaojuan Qi	2
+ PDF Chat	Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning	2022	Matías Mendieta Taojiannan Yang Pu Wang Minwoo Lee Zhengming Ding Chen Chen	2
+ PDF Chat	Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks	2023	Saeed Vahidian Mahdi Morafah Chen Chen Mubarak Shah Bill Lin	2
+	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization	2020	Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor	2
+	An Efficient Framework for Clustered Federated Learning	2022	Avishek Ghosh Jichan Chung Dong Yin Kannan Ramchandran	2
+ PDF Chat	Model-Contrastive Federated Learning	2021	Qinbin Li Bingsheng He Dawn Song	2
+	Salvaging Federated Learning by Local Adaptation	2020	Changyuan Yu Eugene Bagdasaryan Vitaly Shmatikov	2
+ PDF Chat	Cooperative Jamming for Secure Communications in MIMO Relay Networks	2011	Jing Huang A. Lee Swindlehurst	2
+	Think Locally, Act Globally: Federated Learning with Local and Global Representations	2020	Paul Pu Liang Terrance Liu Ziyin Liu Ruslan Salakhutdinov Louis‐Philippe Morency	2
+ PDF Chat	Joint Relay and Jammer Selection for Secure Two-Way Relay Networks	2011	Jingchao Chen Rongqing Zhang Lingyang Song Zhu Han Bingli Jiao	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	On Secrecy Capacity Scaling in Wireless Networks	2012	O. Ozan Koyluoglu C. Emre Koksal Hesham El Gamal	2
+ PDF Chat	On the Design of Artificial-Noise-Aided Secure Multi-Antenna Transmission in Slow Fading Channels	2013	Xi Zhang Xiangyun Zhou Matthew R. McKay	2
+	Improving Federated Learning Personalization via Model Agnostic Meta Learning	2019	Yihan Jiang Jakub Konečný Keith Rush Sreeram Kannan	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	Opportunistic Secrecy with a Strict Delay Constraint	2013	Karim Khalil O. Ozan Koyluoglu Hesham El Gamal Moustafa Youssef	2
+ PDF Chat	Deep Networks with Stochastic Depth	2016	Gao Huang Yu Sun Zhuang Liu Daniel Sedra Kilian Q. Weinberger	2
+	Learning Structured Sparsity in Deep Neural Networks	2016	Wei Wen Chunpeng Wu Yandan Wang Yiran Chen Hai Li	2
+ PDF Chat	Power allocation and cooperative diversity in two-way non-regenerative cognitive radio networks	2017	Saeed Vahidian Maryam Najafi Marzieh Najafi Fawaz S. Al‐Qahtani	2
+	A Closer Look at Few-shot Classification	2019	Wei-Yu Chen Yen‐Cheng Liu Zsolt Kira Yu-Chiang Frank Wang Jia‐Bin Huang	2
+	Robust and Communication-Efficient Collaborative Learning	2019	Amirhossein Reisizadeh Hossein Taheri Aryan Mokhtari Hamed Hassani Ramtin Pedarsani	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
+	On the Convergence of Local Descent Methods in Federated Learning	2019	Farzin Haddadpour Mehrdad Mahdavi	2
+	Federated Meta-Learning with Fast Convergence and Efficient Communication	2018	Fei Chen Mi Luo Zhenhua Dong Zhenguo Li Xiuqiang He	2
+	Distributed Vector Estimation for Power- and Bandwidth-Constrained Wireless Sensor Networks	2016	Alireza Sani Azadeh Vosoughi	2
+	Federated Optimization in Heterogeneous Networks	2018	Li Tian Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	2
+	The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks	2018	Jonathan Frankle Michael Carbin	2
+ PDF Chat	Learning Efficient Convolutional Networks through Network Slimming	2017	Zhuang Liu Jianguo Li Zhiqiang Shen Gao Huang Shoumeng Yan Changshui Zhang	2
+	An Investigation Into On-device Personalization of End-to-end Automatic Speech Recognition Models.	2019	Khe Chai Sim Petr Zadrazil Françoise Beaufays	2
+ PDF Chat	A Secure Communication Game With a Relay Helping the Eavesdropper	2011	Melda Yüksel Xi Liu Elza Erkip	2
+ PDF Chat	Secure Transmission With Multiple Antennas I: The MISOME Wiretap Channel	2010	Ashish Khisti Gregory W. Wornell	2
+	Towards Building The Federatedgpt: Federated Instruction Tuning	2024	Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Guoyin Wang Yiran Chen	2