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Peer-to-Peer Learning Dynamics of Wide Neural Networks

23 September 2024

José M. F. Moura

Papers citing "Peer-to-Peer Learning Dynamics of Wide Neural Networks"

21 / 21 papers shown

Title
The Structural Complexity of Matrix-Vector Multiplication Emile Anand Jan van den Brand Rose McCarty 89 2 0 28 Feb 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning Emile Anand Ishani Karmarkar Guannan Qu 179 2 0 01 Dec 2024
Efficient Reinforcement Learning for Global Decision Making in the Presence of Local Agents at Scale Emile Anand Guannan Qu 125 5 0 01 Mar 2024
Peer-to-Peer Learning + Consensus with Non-IID Data Srinivasa Pranav José M. F. Moura 74 3 0 21 Dec 2023
Peer-to-Peer Deep Learning for Beyond-5G IoT Srinivasa Pranav José M. F. Moura 77 3 0 29 Oct 2023
Towards Last-layer Retraining for Group Robustness with Fewer Annotations Tyler LaBonte Vidya Muthukumar Abhishek Kumar 104 42 0 15 Sep 2023
Networked Signal and Information Processing Stefan Vlaski S. Kar Ali H. Sayed José M. F. Moura 101 18 0 25 Oct 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications Han Cai Ji Lin Chengyue Wu Zhijian Liu Haotian Tang Hanrui Wang Ligeng Zhu Song Han 116 116 0 25 Apr 2022
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations Polina Kirichenko Pavel Izmailov A. Wilson OOD 121 339 0 06 Apr 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 99 434 0 24 Nov 2021
A Neural Tangent Kernel Perspective of GANs Jean-Yves Franceschi Emmanuel de Bézenac Ibrahim Ayed Mickaël Chen Sylvain Lamprier Patrick Gallinari 129 27 0 10 Jun 2021
On the linearity of large non-linear models: when and why the tangent kernel is constant Chaoyue Liu Libin Zhu M. Belkin 169 143 0 02 Oct 2020
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion Brian Swenson Ryan W. Murray H. Vincent Poor S. Kar 91 16 0 12 Aug 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 95 518 0 23 Mar 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 298 6,343 0 10 Dec 2019
Stochastic Mirror Descent on Overparameterized Nonlinear Models: Convergence, Implicit Regularization, and Generalization Navid Azizan Sahin Lale B. Hassibi 164 75 0 10 Jun 2019
Graph Neural Tangent Kernel: Fusing Graph Neural Networks with Graph Kernels S. Du Kangcheng Hou Barnabás Póczós Ruslan Salakhutdinov Ruosong Wang Keyulu Xu 142 276 0 30 May 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent Jaehoon Lee Lechao Xiao S. Schoenholz Yasaman Bahri Roman Novak Jascha Narain Sohl-Dickstein Jeffrey Pennington 227 1,112 0 18 Feb 2019
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 376 3,226 0 20 Jun 2018
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks Jianshu Chen Ali H. Sayed 138 657 0 31 Oct 2011
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise S. Kar José M. F. Moura 160 674 0 25 Nov 2007