NL
Nicolas Loizou
cs.LGmath.OCstat.MLcs.GTcs.DCcs.NAmath.NAcs.AIcs.MAcs.SY
On Valency
published · living versionsW_cw3au2qm·v1 · currentpublished
Compressed Per-Player Local Methods for Multiplayer Federated Learning: Exact Convergence via Increment Sharing
with Bhavika Balani, TaeHo Yoon
1 version
W_w84pjmrj·v1published
Preprints & journals
49 papers in the corpus · 2015–2026Extragradient and Past Extragradient Methods for -Lipschitz Variational Inequalities2610.16886v1 · Ezra Greenberg, Nicolas Loizou2026 · 0 citationsarXiv
Dual-Anchor Acceleration Is Near-Optimal for Stochastic Monotone Root-Finding2609.36033v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
Polyak-Type Extragradient Methods for Monotone Root-Finding Problems2609.26581v1 · TaeHo Yoon, Sayantan Choudhury, Ezra Greenberg et al.2026 · 0 citationsarXiv
Direct Acceleration of Stochastic Root-Finding Without Variance Reduction and Regularization2608.12043v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
On Same-Sample and Independent-Sample Stochastic Extragradient for Monotone Variational Inequalities2608.06182v1 · TaeHo Yoon, Nicolas Loizou2026 · 0 citationsarXiv
Adaptive Sharpness-Aware Minimization with a Polyak-type Step size: A Theory-Grounded Scheduler2606.01827v1 · Dimitris Oikonomou, Nicolas Loizou2026 · 0 citationsarXiv
Certified Robustness from Approximate Gaussian Mixture Structures in Pretrained Latent Spaces2605.25352v1 · Konstantinos Emmanouilidis, Tianjiao Ding, Nghia Nguyen et al.2026 · 0 citationsarXiv
Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients2512.02342v3 · Dimitris Oikonomou, Nicolas Loizou2025 · 0 citationsarXiv
Taking the Road Less Scheduled with Adaptive Polyak Steps2511.07767v2 · Dimitris Oikonomou, Matthew Buchholz, Yuen-Man Pun et al.2025 · 0 citationsarXiv
Extragradient Method for -Lipschitz Root-finding Problems2510.22421v1 · Sayantan Choudhury, Nicolas Loizou2025 · 0 citationsarXiv
Federated Learning for Renal Tumor Segmentation and Classification on Multi-Center MRI Dataset.40384349 · Nguyen, Dat-Thanh, Imami, Maliha, Zhao, Lin-Mei et al.2025 · 11 citationsJournal of magnetic resonance imaging : JMRI. 2025;62(3):814-824
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation2504.01898v1 · Robert M. Gower, Guillaume Garrigos, Nicolas Loizou et al.2025 · 0 citationsarXiv
Sharpness-Aware Minimization: General Analysis and Improved Rates2503.02225v1 · Dimitris Oikonomou, Nicolas Loizou2025 · 1 citationarXiv
Multiplayer Federated Learning: Reaching Equilibrium with Less Communication2501.08263v2 · TaeHo Yoon, Sayantan Choudhury, Nicolas Loizou2025 · 0 citationsarXiv
Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance2406.04142v2 · Dimitris Oikonomou, Nicolas Loizou2024 · 1 citationarXiv
Dissipative Gradient Descent Ascent Method: A Control Theory Inspired Algorithm for Min-max Optimization2403.09090v1 · Tianqi Zheng, Nicolas Loizou, Pengcheng You et al.2024 · 1 citationarXiv
Stochastic Extragradient with Random Reshuffling: Improved Convergence for Variational Inequalities2403.07148v2 · Konstantinos Emmanouilidis, Ren'e Vidal, Nicolas Loizou2024 · 1 citationarXiv
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad2403.02648v4 · Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou et al.2024 · 0 citationsThe Thirty-Eighth Annual Conference on Neural Information Processing Systems, 2024
Locally Adaptive Federated Learning2307.06306v2 · Sohom Mukherjee, Nicolas Loizou, Sebastian U. Stich2023 · 0 citationsarXiv
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates2306.05100v2 · Siqi Zhang, Sayantan Choudhury, Sebastian U Stich et al.2023 · 3 citationsarXiv
Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions2302.14043v2 · Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou2023 · 0 citationsarXiv
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games2206.05825v4 · Samuel Sokota, Ryan D'Orazio, J. Zico Kolter et al.2022 · 6 citationsarXiv
Dynamics of SGD with Stochastic Polyak Stepsizes: Truly Adaptive Variants and Convergence to Exact Solution2205.04583v5 · Antonio Orvieto, Simon Lacoste-Julien, Nicolas Loizou2022 · 4 citationsarXiv
Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods2202.07262v3 · Aleksandr Beznosikov, Eduard Gorbunov, Hugo Berard et al.2022 · 12 citationsarXiv
Stochastic Extragradient: General Analysis and Improved Rates2111.08611v3 · Eduard Gorbunov, Hugo Berard, Gauthier Gidel et al.2021 · 4 citationsarXiv
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize2110.15412v3 · Ryan D'Orazio, Nicolas Loizou, Issam Laradji et al.2021 · 8 citationsarXiv
Extragradient Method: Last-Iterate Convergence for Monotone Variational Inequalities and Connections With Cocoercivity2110.04261v2 · Eduard Gorbunov, Nicolas Loizou, Gauthier Gidel2021 · 10 citationsarXiv
Stochastic Gradient Descent-Ascent and Consensus Optimization for Smooth Games: Convergence Analysis under Expected Co-coercivity2107.00052v2 · Nicolas Loizou, Hugo Berard, Gauthier Gidel et al.2021 · 6 citationsarXiv
On the Convergence of Stochastic Extragradient for Bilinear Games using Restarted Iteration Averaging2107.00464v4 · Chris Junchi Li, Yaodong Yu, Nicolas Loizou et al.2021 · 3 citationsarXiv
AI-SARAH: Adaptive and Implicit Stochastic Recursive Gradient Methods2102.09700v3 · Zheng Shi, Abdurakhmon Sadiev, Nicolas Loizou et al.2021 · 4 citationsarXiv
Stochastic Hamiltonian Gradient Methods for Smooth Games2007.04202v1 · Nicolas Loizou, Hugo Berard, Alexia Jolicoeur-Martineau et al.2020 · 17 citationsarXiv
Unified Analysis of Stochastic Gradient Methods for Composite Convex and Smooth Optimization2006.11573v1 · Ahmed Khaled, Othmane Sebbouh, Nicolas Loizou et al.2020 · 24 citationsarXiv
SGD for Structured Nonconvex Functions: Learning Rates, Minibatching and Interpolation2006.10311v3 · Robert M. Gower, Othmane Sebbouh, Nicolas Loizou2020 · 9 citationsarXiv
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates2003.10422v3 · Anastasia Koloskova, Nicolas Loizou, Sadra Boreiri et al.2020 · 254 citationsarXiv
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence2002.10542v3 · Nicolas Loizou, Sharan Vaswani, Issam Laradji et al.2020 · 56 citationsarXiv
Randomized Iterative Methods for Linear Systems: Momentum, Inexactness and Gossip1909.12176v1 · Nicolas Loizou2019 · 4 citationsarXiv
Revisiting Randomized Gossip Algorithms: General Framework, Convergence Rates and Novel Block and Accelerated Protocols1905.08645v2 · Nicolas Loizou, Peter Richt'arik2019 · 33 citationsarXiv
Convergence Analysis of Inexact Randomized Iterative Methods1903.07971v1 · Nicolas Loizou, Peter Richt'arik2019 · 20 citationsarXiv
A Privacy Preserving Randomized Gossip Algorithm via Controlled Noise Insertion1901.09367v1 · Filip Hanzely, Jakub Konecn'y, Nicolas Loizou et al.2019 · 7 citationsarXiv
SGD: General Analysis and Improved Rates1901.09401v4 · Robert Mansel Gower, Nicolas Loizou, Xun Qian et al.2019 · 132 citationsProceedings of the 36th International Conference on Machine Learning, PMLR 97:5200-5209, 2019
Stochastic Gradient Push for Distributed Deep Learning1811.10792v3 · Mahmoud Assran, Nicolas Loizou, Nicolas Ballas et al.2018 · 228 citationsInternational Conference on Machine Learning 97 (2019) 344-353
Provably Accelerated Randomized Gossip Algorithms1810.13084v1 · Nicolas Loizou, Michael Rabbat, Peter Richt'arik2018 · 19 citationsarXiv
Accelerated Gossip via Stochastic Heavy Ball Method1809.08657v1 · Nicolas Loizou, Peter Richt'arik2018 · 24 citationsarXiv
Momentum and Stochastic Momentum for Stochastic Gradient, Newton, Proximal Point and Subspace Descent Methods1712.09677v2 · Nicolas Loizou, Peter Richt'arik2017 · 77 citationsarXiv
Linearly convergent stochastic heavy ball method for minimizing generalization error1710.10737v2 · Nicolas Loizou, Peter Richt'arik2017 · 25 citationsarXiv
Privacy Preserving Randomized Gossip Algorithms1706.07636v1 · Filip Hanzely, Jakub Konecn'y, Nicolas Loizou et al.2017 · 17 citationsarXiv
A New Perspective on Randomized Gossip Algorithms1610.04714v1 · Nicolas Loizou, Peter Richt'arik2016 · 26 citationsarXiv
Distributionally Robust Games with Risk-averse Players1610.00651v1 · Nicolas Loizou2016 · 9 citationsarXiv
Distributionally Robust Game Theory1512.03253v1 · Nicolas Loizou2015 · 3 citationsarXiv
Career total: 54 works. 49 are in this corpus.
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