Quantization for decentralized learning under subspace constraints

16 September 2022

Papers citing "Quantization for decentralized learning under subspace constraints"

25 / 25 papers shown

Title
Communication-efficient Vertical Federated Learning via Compressed Error Feedback Pedro Valdeira João Xavier Cláudia Soares Yuejie Chi FedML 68 4 0 20 Jun 2024
Distributed Adaptive Learning Under Communication Constraints Marco Carpentiero Vincenzo Matta Ali H. Sayed 45 17 0 03 Dec 2021
Finite-Bit Quantization For Distributed Algorithms With Linear Convergence Nicolò Michelusi G. Scutari Chang-Shen Lee MQ 29 27 0 23 Jul 2021
A Linearly Convergent Algorithm for Decentralized Optimization: Sending Less Bits for Free! D. Kovalev Anastasia Koloskova Martin Jaggi Peter Richtárik Sebastian U. Stich 56 72 0 03 Nov 2020
SQuARM-SGD: Communication-Efficient Momentum SGD for Decentralized Optimization Navjot Singh Deepesh Data Jemin George Suhas Diggavi 32 55 0 13 May 2020
Multitask learning over graphs: An Approach for Distributed, Streaming Machine Learning Roula Nassif Stefan Vlaski C. Richard Jie Chen Ali H. Sayed 58 72 0 07 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 150 6,177 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 95 4,470 0 21 Aug 2019
Adaptation and learning over networks under subspace constraints -- Part II: Performance Analysis Roula Nassif Stefan Vlaski Ali H. Sayed 36 17 0 01 Jun 2019
Adaptation and learning over networks under subspace constraints -- Part I: Stability Analysis Roula Nassif Stefan Vlaski Ali H. Sayed 28 30 0 21 May 2019
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 60 505 0 01 Feb 2019
Compressed Distributed Gradient Descent: Communication-Efficient Consensus over Networks Xin Zhang Jia Liu Zhengyuan Zhu Elizabeth S. Bentley 40 27 0 10 Dec 2018
An Exact Quantized Decentralized Gradient Descent Algorithm Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ramtin Pedarsani 45 123 0 29 Jun 2018
Learning over Multitask Graphs -- Part I: Stability Analysis Roula Nassif Stefan Vlaski Cedric Richard Ali H. Sayed 42 26 0 22 May 2018
Communication Compression for Decentralized Training Hanlin Tang Shaoduo Gan Ce Zhang Tong Zhang Ji Liu 46 272 0 17 Mar 2018
$$\mathcal{CIRFE}$: A Distributed Random Fields Estimator$ $\mathcal{CIRFE}$ : A Distributed Random Fields Estimator Anit Kumar Sahu D. Jakovetić S. Kar 39 17 0 14 Feb 2018
SGD and Hogwild! Convergence Without the Bounded Gradients Assumption Lam M. Nguyen Phuong Ha Nguyen Marten van Dijk Peter Richtárik K. Scheinberg Martin Takáč 66 227 0 11 Feb 2018
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 104 1,791 0 30 May 2017
Diffusion LMS for Multitask Problems with Local Linear Equality Constraints Roula Nassif C. Richard A. Ferrari Ali H. Sayed 40 53 0 10 Oct 2016
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding Dan Alistarh Demjan Grubic Jerry Li Ryota Tomioka Milan Vojnović MQ 64 425 0 07 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 251 17,328 0 17 Feb 2016
Multitask Diffusion Adaptation over Networks Jie Chen C. Richard Ali H. Sayed 52 247 0 02 Nov 2013
Distributed Robust Power System State Estimation V. Kekatos G. Giannakis 64 472 0 04 Apr 2012
Diffusion Adaptation over Networks under Imperfect Information Exchange and Non-stationary Data Xiaochuan Zhao Sheng-Yuan Tu Ali H. Sayed 67 169 0 29 Dec 2011
Gossip Algorithms for Distributed Signal Processing A. Dimakis S. Kar José M. F. Moura Michael G. Rabbat Anna Scaglione 123 857 0 27 Mar 2010