UVeQFed: Universal Vector Quantization for Federated Learning

5 June 2020

Papers citing "UVeQFed: Universal Vector Quantization for Federated Learning"

32 / 32 papers shown

Title
Communication-Efficient Federated Fine-Tuning of Language Models via Dynamic Update Schedules Michail Theologitis V. Samoladas Antonios Deligiannakis 29 0 0 07 May 2025
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 42 4 0 20 Jun 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 39 1 0 24 May 2024
SignSGD with Federated Voting Chanho Park H. Vincent Poor Namyoon Lee FedML 40 1 0 25 Mar 2024
Federated Learning on Edge Sensing Devices: A Review Berrenur Saylam Ozlem Durmaz Incel 26 1 0 02 Nov 2023
LL-VQ-VAE: Learnable Lattice Vector-Quantization For Efficient Representations Ahmed Khalil Robert Piechocki Raúl Santos-Rodríguez 15 2 0 13 Oct 2023
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks Natalie Lang Nir Shlezinger Rafael G. L. DÓliveira S. E. Rouayheb FedML 70 4 0 01 Aug 2023
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization Nicolò Dal Fabbro M. Rossi Luca Schenato S. Dey 16 0 0 18 May 2023
Quantized Low-Rank Multivariate Regression with Random Dithering Junren Chen Yueqi Wang Michael Kwok-Po Ng 27 4 0 22 Feb 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 47 21 0 08 Jan 2023
Federated Learning with Flexible Control Shiqiang Wang Jake B. Perazzone Mingyue Ji Kevin S. Chan FedML 28 17 0 16 Dec 2022
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms Vincent Plassier Alain Durmus Eric Moulines FedML 14 6 0 31 Oct 2022
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient Afsaneh Mahmoudi José Hélio da Cruz Júnior H. S. Ghadikolaei Carlo Fischione 28 7 0 31 Oct 2022
Joint Privacy Enhancement and Quantization in Federated Learning Natalie Lang Elad Sofer Tomer Shaked Nir Shlezinger FedML 32 46 0 23 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Matching Pursuit Based Scheduling for Over-the-Air Federated Learning Ali Bereyhi Adela Vagollari S. Asaad R. Muller W. Gerstacker H. Vincent Poor 16 6 0 14 Jun 2022
Tighter Regret Analysis and Optimization of Online Federated Learning Dohyeok Kwon Jonghwan Park Songnam Hong 28 11 0 13 May 2022
FedVQCS: Federated Learning via Vector Quantized Compressed Sensing Yong-Nam Oh Yo-Seb Jeon Mingzhe Chen Walid Saad FedML 17 10 0 16 Apr 2022
Context-Aware Online Client Selection for Hierarchical Federated Learning Zhe Qu Rui Duan Lixing Chen Jie Xu Zhuo Lu Yao-Hong Liu 33 61 0 02 Dec 2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing Yong-Nam Oh Namyoon Lee Yo-Seb Jeon H. Vincent Poor FedML MQ 22 34 0 30 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 107 53 0 31 Oct 2021
Communication-Efficient Federated Learning via Predictive Coding Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 25 14 0 02 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 29 74 0 23 Jul 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 25 47 0 11 Jun 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 49 243 0 29 Apr 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis Zezhong Zhang Guangxu Zhu Rui-cang Wang Vincent K. N. Lau Kaibin Huang 33 31 0 20 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 35 401 0 05 Apr 2021
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 21 128 0 31 Mar 2021
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 23 23 0 31 Dec 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019