Non-Convex Federated Optimization under Cost-Aware Client Selection
Fuente:
arXiv
Saved in:
| Main Authors: | Jiang, Xiaowen, Rodomanov, Anton, Stich, Sebastian U. |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Optimization with Doubly Regularized Drift Correction
by: Jiang, Xiaowen, et al.
Published: (2024)
by: Jiang, Xiaowen, et al.
Published: (2024)
Stabilized Proximal-Point Methods for Federated Optimization
by: Jiang, Xiaowen, et al.
Published: (2024)
by: Jiang, Xiaowen, et al.
Published: (2024)
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
by: Takezawa, Yuki, et al.
Published: (2025)
by: Takezawa, Yuki, et al.
Published: (2025)
Non-convex Stochastic Composite Optimization with Polyak Momentum
by: Gao, Yuan, et al.
Published: (2024)
by: Gao, Yuan, et al.
Published: (2024)
Accelerated Distributed Optimization with Compression and Error Feedback
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
Universality of AdaGrad Stepsizes for Stochastic Optimization: Inexact Oracle, Acceleration and Variance Reduction
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Composite Optimization with Error Feedback: the Dual Averaging Approach
by: Gao, Yuan, et al.
Published: (2025)
by: Gao, Yuan, et al.
Published: (2025)
FedMuon: Federated Learning with Bias-corrected LMO-based Optimization
by: Takezawa, Yuki, et al.
Published: (2025)
by: Takezawa, Yuki, et al.
Published: (2025)
DADA: Dual Averaging with Distance Adaptation
by: Moshtaghifar, Mohammad, et al.
Published: (2025)
by: Moshtaghifar, Mohammad, et al.
Published: (2025)
On Convergence of Incremental Gradient for Non-Convex Smooth Functions
by: Koloskova, Anastasia, et al.
Published: (2023)
by: Koloskova, Anastasia, et al.
Published: (2023)
Locally Adaptive Federated Learning
by: Mukherjee, Sohom, et al.
Published: (2023)
by: Mukherjee, Sohom, et al.
Published: (2023)
Optimizing $(L_0, L_1)$-Smooth Functions by Gradient Methods
by: Vankov, Daniil, et al.
Published: (2024)
by: Vankov, Daniil, et al.
Published: (2024)
Scalable Decentralized Learning with Teleportation
by: Takezawa, Yuki, et al.
Published: (2025)
by: Takezawa, Yuki, et al.
Published: (2025)
Efficient Gradient Methods for Distributed Saddle Problems
by: Luo, Ruichen, et al.
Published: (2026)
by: Luo, Ruichen, et al.
Published: (2026)
Towards Faster Decentralized Stochastic Optimization with Communication Compression
by: Islamov, Rustem, et al.
Published: (2024)
by: Islamov, Rustem, et al.
Published: (2024)
Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates
by: Zhang, Siqi, et al.
Published: (2023)
by: Zhang, Siqi, et al.
Published: (2023)
Compressed Proximal Federated Learning for Non-Convex Composite Optimization on Heterogeneous Data
by: Qiu, Pu, et al.
Published: (2026)
by: Qiu, Pu, et al.
Published: (2026)
Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization
by: Demidovich, Yury, et al.
Published: (2024)
by: Demidovich, Yury, et al.
Published: (2024)
Distributed Online Convex Optimization with Nonseparable Costs and Constraints
by: Pan, Zhaoye, et al.
Published: (2026)
by: Pan, Zhaoye, et al.
Published: (2026)
Universal Gradient Methods for Stochastic Convex Optimization
by: Rodomanov, Anton, et al.
Published: (2024)
by: Rodomanov, Anton, et al.
Published: (2024)
Global Complexity Analysis of BFGS
by: Rodomanov, Anton
Published: (2024)
by: Rodomanov, Anton
Published: (2024)
Client-Centric Federated Adaptive Optimization
by: Sun, Jianhui, et al.
Published: (2025)
by: Sun, Jianhui, et al.
Published: (2025)
FedSUM Family: Efficient Federated Learning Methods under Arbitrary Client Participation
by: You, Runze, et al.
Published: (2025)
by: You, Runze, et al.
Published: (2025)
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
by: Jiao, Yang, et al.
Published: (2023)
by: Jiao, Yang, et al.
Published: (2023)
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning
by: Palenzuela, Karlo, et al.
Published: (2025)
by: Palenzuela, Karlo, et al.
Published: (2025)
Online Non-Stationary Stochastic Quasar-Convex Optimization
by: Pun, Yuen-Man, et al.
Published: (2024)
by: Pun, Yuen-Man, et al.
Published: (2024)
Stochastic Non-Smooth Convex Optimization with Unbounded Gradients
by: Kovalev, Dmitry
Published: (2026)
by: Kovalev, Dmitry
Published: (2026)
Bayesian Optimization for Non-Convex Two-Stage Stochastic Optimization Problems
by: Buckingham, Jack M., et al.
Published: (2024)
by: Buckingham, Jack M., et al.
Published: (2024)
Are Convex Optimization Curves Convex?
by: Barzilai, Guy, et al.
Published: (2025)
by: Barzilai, Guy, et al.
Published: (2025)
Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization
by: Jiang, Ruichen, et al.
Published: (2024)
by: Jiang, Ruichen, et al.
Published: (2024)
A Modular Algorithm for Non-Stationary Online Convex-Concave Optimization
by: Meng, Qing-xin, et al.
Published: (2025)
by: Meng, Qing-xin, et al.
Published: (2025)
Inexact Moreau Envelope Lagrangian Method for Non-Convex Constrained Optimization under Local Error Bound Conditions on Constraint Functions
by: Huang, Yankun, et al.
Published: (2025)
by: Huang, Yankun, et al.
Published: (2025)
Differentially Private Non-Convex Optimization under the KL Condition with Optimal Rates
by: Menart, Michael, et al.
Published: (2023)
by: Menart, Michael, et al.
Published: (2023)
Trade-off in Estimating the Number of Byzantine Clients in Federated Learning
by: Chen, Ziyi, et al.
Published: (2025)
by: Chen, Ziyi, et al.
Published: (2025)
LyAm: Robust Non-Convex Optimization for Stable Learning in Noisy Environments
by: Mirzabeigi, Elmira, et al.
Published: (2025)
by: Mirzabeigi, Elmira, et al.
Published: (2025)
New Lower Bounds for Stochastic Non-Convex Optimization through Divergence Decomposition
by: Saad, El Mehdi, et al.
Published: (2025)
by: Saad, El Mehdi, et al.
Published: (2025)
Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
by: Armacki, Aleksandar, et al.
Published: (2026)
by: Armacki, Aleksandar, et al.
Published: (2026)
Achieving Better Local Regret Bound for Online Non-Convex Bilevel Optimization
by: Jia, Tingkai, et al.
Published: (2026)
by: Jia, Tingkai, et al.
Published: (2026)
Asynchronous Decentralized SGD under Non-Convexity: A Block-Coordinate Descent Framework
by: Zhou, Yijie, et al.
Published: (2025)
by: Zhou, Yijie, et al.
Published: (2025)
Effective Dimension Aware Fractional-Order Stochastic Gradient Descent for Convex Optimization Problems
by: Partohaghighi, Mohammad, et al.
Published: (2025)
by: Partohaghighi, Mohammad, et al.
Published: (2025)
Similar Items
-
Federated Optimization with Doubly Regularized Drift Correction
by: Jiang, Xiaowen, et al.
Published: (2024) -
Stabilized Proximal-Point Methods for Federated Optimization
by: Jiang, Xiaowen, et al.
Published: (2024) -
Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization
by: Takezawa, Yuki, et al.
Published: (2025) -
Non-convex Stochastic Composite Optimization with Polyak Momentum
by: Gao, Yuan, et al.
Published: (2024) -
Accelerated Distributed Optimization with Compression and Error Feedback
by: Gao, Yuan, et al.
Published: (2025)