Saeed Khalilian

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All published works

Action	Title	Year	Authors
+ PDF Chat	FedCode: Communication-Efficient Federated Learning via Transferring Codebooks	2024	Saeed Khalilian Vasileios Tsouvalas Tanır Özçelebi Nirvana Meratnia
+	FedCode: Communication-Efficient Federated Learning via Transferring Codebooks	2023	Saeed Khalilian Vasileios Tsouvalas Tanır Özçelebi Nirvana Meratnia
+	PCB Defect Detection Using Denoising Convolutional Autoencoders	2020	Saeed Khalilian Yeganeh Hallaj Arian Balouchestani Hossein Karshenas Amir H. Mohammadi
+ PDF Chat	PCB Defect Detection Using Denoising Convolutional Autoencoders	2020	Saeed Khalilian Yeganeh Hallaj Arian Balouchestani Hossein Karshenas Amir H. Mohammadi
+	PCB Defect Detection Using Denoising Convolutional Autoencoders	2020	Saeed Khalilian Yeganeh Hallaj Arian Balouchestani Hossein Karshenas Amir H. Mohammadi

Common Coauthors

Coauthor	Papers Together
Amir H. Mohammadi	3
Hossein Karshenas	3
Arian Balouchestani	3
Yeganeh Hallaj	3
Vasileios Tsouvalas	2
Nirvana Meratnia	2
Tanır Özçelebi	2

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Online PCB Defect Detector On A New PCB Defect Dataset	2019	Sanli Tang Fan He Xiaolin Huang Jie Yang	2
+ PDF Chat	Deep Residual Learning for Image Recognition	2016	Kaiming He Xiangyu Zhang Shaoqing Ren Jian Sun	1
+	QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding	2016	Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović	1
+	Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition	2018	Pete Warden	1
+	One-Shot Federated Learning	2019	Neel Guha Ameet Talwalkar Virginia Smith	1
+ PDF Chat	MobileNetV2: Inverted Residuals and Linear Bottlenecks	2018	Mark Sandler Andrew Howard Menglong Zhu Andrey Zhmoginov Liang-Chieh Chen	1
+ PDF Chat	A Distributed Synchronous SGD Algorithm with Global Top-k Sparsification for Low Bandwidth Networks	2019	Shaohuai Shi Qiang Wang Kaiyong Zhao Zhenheng Tang Yuxin Wang Xiang Huang Xiaowen Chu	1
+ PDF Chat	ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning	2019	Xiaolong Ma Geng Yuan Sheng Lin Zhengang Li Hao Sun Yanzhi Wang	1
+	Federated Optimization in Heterogeneous Networks	2018	Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith	1
+	Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization	2020	Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor	1
+	Distilled One-Shot Federated Learning	2020	Yanlin Zhou George Pu Xiyao Ma Xiaolin Li Dapeng Wu	1
+	Pruning neural networks without any data by iteratively conserving synaptic flow	2020	Hidenori Tanaka Daniel Kunin Daniel Yamins Surya Ganguli	1
+	Fast-Convergent Federated Learning	2020	Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton Mung Chiang H. Vincent Poor	1
+	FEDZIP: A Compression Framework for Communication-Efficient Federated Learning.	2021	Amirhossein Malekijoo Mohammad Javad Fadaeieslam Hanieh Malekijou Morteza Homayounfar Farshid Alizadeh-Shabdiz Reza Rawassizadeh	1
+ PDF Chat	Fast-Convergent Federated Learning With Adaptive Weighting	2021	Hongda Wu Ping Wang	1
+ PDF Chat	Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates	2021	Laizhong Cui Xiaoxin Su Yipeng Zhou Yi Pan	1
+	Federated Progressive Sparsification (Purge, Merge, Tune)+	2022	Dimitris Stripelis Umang Gupta Greg Ver Steeg José Luis Ambite	1
+	DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning	2021	Robert Hönig Yiren Zhao Robert F. Mullins	1
+	EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning	2021	Shay Vargaftik Ran Ben Basat Amit Portnoy Gal Mendelson Yaniv Ben-Itzhak Michael Mitzenmacher	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
+	Online Model Compression for Federated Learning with Large Models	2023	Tien-Ju Yang Yonghui Xiao Giovanni Motta Françoise Beaufays Rajiv Mathews Mingqing Chen	1
+	Federated Fine-Tuning of Foundation Models via Probabilistic Masking	2023	Vasileios Tsouvalas Yuki M. Asano Aaqib Saeed	1
+	Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding	2015	Song Han Huizi Mao William J. Dally	1
+	Communication-Efficient Federated Learning Through Adaptive Weight Clustering And Server-Side Distillation	2024	Vasileios Tsouvalas Aaqib Saeed Tanır Özçelebi Nirvana Meratnia	1