Beyond Fixed Rounds: Data-Free Early Stopping for Practical Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Lee, Youngjoon, Lee, Hyukjoon, Jung, Seungrok, Luo, Andy, Gong, Jinu, Cao, Yang, Kang, Joonhyuk |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Debunking Optimization Myths in Federated Learning for Medical Image Classification
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring
by: Lee, Youngjoon, et al.
Published: (2024)
by: Lee, Youngjoon, et al.
Published: (2024)
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
by: Lee, Youngjoon, et al.
Published: (2024)
by: Lee, Youngjoon, et al.
Published: (2024)
Revisit the Stability of Vanilla Federated Learning Under Diverse Conditions
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
CG-FKAN: Compressed-Grid Federated Kolmogorov-Arnold Networks for Communication Constrained Environment
by: Yu, Seunghun, et al.
Published: (2025)
by: Yu, Seunghun, et al.
Published: (2025)
Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their Mitigation
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Improving Generalizability of Kolmogorov-Arnold Networks via Error-Correcting Output Codes
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Forecasting-based Biomedical Time-series Data Synthesis for Open Data and Robust AI
by: Lee, Youngjoon, et al.
Published: (2025)
by: Lee, Youngjoon, et al.
Published: (2025)
Resource-Aware Aggregation and Sparsification in Heterogeneous Ensemble Federated Learning
by: Ryum, Keumseo, et al.
Published: (2025)
by: Ryum, Keumseo, et al.
Published: (2025)
ROK Defense M&S in the Age of Hyperscale AI: Concepts, Challenges, and Future Directions
by: Lee, Youngjoon, et al.
Published: (2024)
by: Lee, Youngjoon, et al.
Published: (2024)
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
by: Kang, Honggu, et al.
Published: (2023)
by: Kang, Honggu, et al.
Published: (2023)
GeFL: Model-Agnostic Federated Learning with Generative Models
by: Kang, Honggu, et al.
Published: (2024)
by: Kang, Honggu, et al.
Published: (2024)
TQ-DiT: Efficient Time-Aware Quantization for Diffusion Transformers
by: Hwang, Younghye, et al.
Published: (2025)
by: Hwang, Younghye, et al.
Published: (2025)
FlexRound: Learnable Rounding based on Element-wise Division for Post-Training Quantization
by: Lee, Jung Hyun, et al.
Published: (2023)
by: Lee, Jung Hyun, et al.
Published: (2023)
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels
by: Yu, Seunghun, et al.
Published: (2025)
by: Yu, Seunghun, et al.
Published: (2025)
MIMO Channel Prediction via Deep Learning-based Conformal Bayes Filter
by: Kim, Dongwon, et al.
Published: (2026)
by: Kim, Dongwon, et al.
Published: (2026)
Sharp Inequalities between Total Variation and Hellinger Distances for Gaussian Mixtures
by: Jung, Joonhyuk, et al.
Published: (2026)
by: Jung, Joonhyuk, et al.
Published: (2026)
FastAV: Efficient Token Pruning for Audio-Visual Large Language Model Inference
by: Jung, Chaeyoung, et al.
Published: (2026)
by: Jung, Chaeyoung, et al.
Published: (2026)
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
by: Niu, Ziru, et al.
Published: (2023)
by: Niu, Ziru, et al.
Published: (2023)
Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems
by: Oh, Jaemin, et al.
Published: (2025)
by: Oh, Jaemin, et al.
Published: (2025)
Energy-Efficient Secure Communications via Joint Optimization of UAV Trajectory and Movable-Antenna Array Beamforming
by: Kim, Sanghyeok, et al.
Published: (2025)
by: Kim, Sanghyeok, et al.
Published: (2025)
Early Stopping Tabular In-Context Learning
by: Küken, Jaris, et al.
Published: (2025)
by: Küken, Jaris, et al.
Published: (2025)
Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
by: Yi, Kai, et al.
Published: (2024)
by: Yi, Kai, et al.
Published: (2024)
Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
by: Sugawara, Sota, et al.
Published: (2026)
by: Sugawara, Sota, et al.
Published: (2026)
Early Stopping Against Label Noise Without Validation Data
by: Yuan, Suqin, et al.
Published: (2025)
by: Yuan, Suqin, et al.
Published: (2025)
Implicit Contrastive Representation Learning with Guided Stop-gradient
by: Lee, Byeongchan, et al.
Published: (2025)
by: Lee, Byeongchan, et al.
Published: (2025)
Instance-dependent Early Stopping
by: Yuan, Suqin, et al.
Published: (2025)
by: Yuan, Suqin, et al.
Published: (2025)
Rate-Adaptive Quantization: A Multi-Rate Codebook Adaptation for Vector Quantization-based Generative Models
by: Seo, Jiwan, et al.
Published: (2024)
by: Seo, Jiwan, et al.
Published: (2024)
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs
by: Hong, Youngjoon, et al.
Published: (2024)
by: Hong, Youngjoon, et al.
Published: (2024)
CoAst: Validation-Free Contribution Assessment for Federated Learning based on Cross-Round Valuation
by: Wu, Hao, et al.
Published: (2024)
by: Wu, Hao, et al.
Published: (2024)
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
by: Kang, Mingu, et al.
Published: (2024)
by: Kang, Mingu, et al.
Published: (2024)
Beyond Rigid Alignment: Graph Federated Learning via Dual Manifold Calibration
by: Yu, Wentao, et al.
Published: (2026)
by: Yu, Wentao, et al.
Published: (2026)
Single-Round Scalable Analytic Federated Learning
by: Bacellar, Alan T. L., et al.
Published: (2025)
by: Bacellar, Alan T. L., et al.
Published: (2025)
Decision-Path Patterns as Tree Reliability Signals: Path-based Adaptive Weighting for Random Forest Classification
by: Park, Youngjoon
Published: (2026)
by: Park, Youngjoon
Published: (2026)
Layer-wise Update Aggregation with Recycling for Communication-Efficient Federated Learning
by: Kim, Jisoo, et al.
Published: (2025)
by: Kim, Jisoo, et al.
Published: (2025)
Noisy Early Stopping for Noisy Labels
by: Toner, William, et al.
Published: (2024)
by: Toner, William, et al.
Published: (2024)
Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
by: Lee, Myeong-Su, et al.
Published: (2024)
by: Lee, Myeong-Su, et al.
Published: (2024)
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space
by: Hasan, Mohsin, et al.
Published: (2023)
by: Hasan, Mohsin, et al.
Published: (2023)
Similar Items
-
When to Stop Federated Learning: Zero-Shot Generation of Synthetic Validation Data with Generative AI for Early Stopping
by: Lee, Youngjoon, et al.
Published: (2025) -
Debunking Optimization Myths in Federated Learning for Medical Image Classification
by: Lee, Youngjoon, et al.
Published: (2025) -
Embedding Byzantine Fault Tolerance into Federated Learning via Consistency Scoring
by: Lee, Youngjoon, et al.
Published: (2024) -
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging
by: Lee, Youngjoon, et al.
Published: (2025) -
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
by: Lee, Youngjoon, et al.
Published: (2024)