Cover Image

TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Weijie, Zhan, Ziwei, Joe-Wong, Carlee, Ngai, Edith, Duan, Jingpu, Guo, Deke, Chen, Xu, Zhang, Xiaoxi
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence I.2.6
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset
by: Liu, Weijie, et al.
Published: (2023)

CPT: Competence-progressive Training Strategy for Few-shot Node Classification
by: Yan, Qilong, et al.
Published: (2024)

Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies
by: Li, Zhongnian, et al.
Published: (2025)

Fusing Rewards and Preferences in Reinforcement Learning
by: Khorasani, Sadegh, et al.
Published: (2025)

AI and Machine Learning Approaches for Predicting Nanoparticles Toxicity The Critical Role of Physiochemical Properties
by: Yousaf, Iqra
Published: (2024)

Deep Memory Search: A Metaheuristic Approach for Optimizing Heuristic Search
by: Hedar, Abdel-Rahman, et al.
Published: (2024)

FedAttr: Towards Privacy-preserving Client-Level Attribution in Federated LLM Fine-tuning
by: Zhang, Su, et al.
Published: (2026)

RepAir: A Framework for Airway Segmentation and Discontinuity Correction in CT
by: Oyer, John M., et al.
Published: (2025)

Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions
by: Kim, Junbeom, et al.
Published: (2025)

Adaptive Latent-Space Constraints in Personalized Federated Learning
by: Ayromlou, Sana, et al.
Published: (2025)

Rewarding Beliefs, Not Actions: Consistency-Guided Credit Assignment for Long-Horizon Agents
by: Tang, Wenjie, et al.
Published: (2026)

PersonalLLM: Tailoring LLMs to Individual Preferences
by: Zollo, Thomas P., et al.
Published: (2024)

Energy and Memory-Efficient Federated Learning With Ordered Layer Freezing
by: Niu, Ziru, et al.
Published: (2025)

FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
by: Niu, Ziru, et al.
Published: (2023)

Tackling Decision Processes with Non-Cumulative Objectives using Reinforcement Learning
by: Nägele, Maximilian, et al.
Published: (2024)

NoRIN: Backbone-Adaptive Reversible Normalization for Time-Series Forecasting
by: Zhang, Shun, et al.
Published: (2026)

Semi-Supervised Learning for AVO Inversion with Strong Spatial Feature Constraints
by: Liu, Yingtian, et al.
Published: (2025)

Explainable Wastewater Digital Twins: Adaptive Context-Conditioned Structured Simulators with Self-Falsifying Decision Support
by: Simethy, Gary, et al.
Published: (2026)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
by: Smits, William
Published: (2026)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
by: Abdelhamid, Mohamed, et al.
Published: (2024)

Adaptive Epsilon Adversarial Training for Robust Gravitational Wave Parameter Estimation Using Normalizing Flows
by: Yang, Yiqian, et al.
Published: (2024)

GAP-Net: Calibrating User Intent via Gated Adaptive Progressive Learning for CTR Prediction
by: Ke, Shenqiang, et al.
Published: (2026)

AdaCap: An Adaptive Contrastive Approach for Small-Data Neural Networks
by: Belucci, Bruno, et al.
Published: (2025)

Unlearning's Blind Spots: Over-Unlearning and Prototypical Relearning Attack
by: Ha, SeungBum, et al.
Published: (2025)

From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning
by: Tomashevskiy, Timofey
Published: (2026)

A Domain-Independent Agent Architecture for Adaptive Operation in Evolving Open Worlds
by: Mohan, Shiwali, et al.
Published: (2023)

Adaptive Candidate Point Thompson Sampling for High-Dimensional Bayesian Optimization
by: Fan, Donney, et al.
Published: (2026)

Quantum-Enhanced Recurrent Neural Networks via Variational Quantum Gating for Battery State of Health Prediction
by: Xu, Yin, et al.
Published: (2026)

In-situ Autoguidance: Eliciting Self-Correction in Diffusion Models
by: Gu, Enhao, et al.
Published: (2025)

FluidWorld: Reaction-Diffusion Dynamics as a Predictive Substrate for World Models
by: Polly, Fabien
Published: (2026)

Teacher-Student Guided Inverse Modeling for Steel Final Hardness Estimation
by: Alsheikh, Ahmad, et al.
Published: (2025)

I-GLIDE: Input Groups for Latent Health Indicators in Degradation Estimation
by: Thil, Lucas, et al.
Published: (2025)

A Parallel Hybrid Action Space Reinforcement Learning Model for Real-world Adaptive Traffic Signal Control
by: Wang, Yuxuan, et al.
Published: (2025)

On the Push-Based Asynchronous Federated Learning: A Bias-Correction Aggregation Approach
by: Bai, Jiahui, et al.
Published: (2026)

Tailoring Machine Learning for Process Mining
by: Ceravolo, Paolo, et al.
Published: (2023)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)

Incentives in Federated Learning with Heterogeneous Agents
by: Procaccia, Ariel D., et al.
Published: (2025)

ESCAPE: Energy-based Selective Adaptive Correction for Out-of-distribution 3D Human Pose Estimation
by: Bidulka, Luke, et al.
Published: (2024)

LANGTRAJ: Diffusion Model and Dataset for Language-Conditioned Trajectory Simulation
by: Chang, Wei-Jer, et al.
Published: (2025)

Affordance-Aware Interactive Decision-Making and Execution for Ambiguous Instructions
by: Xu, Hengxuan, et al.
Published: (2026)