Method

Federated Learning

Federated Learning is an advanced artificial intelligence system that learns to process human language by being trained on vast amounts of text data.

Papers Using
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20 papers
Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection

Back to the Familiar Future: Failure Recovery for VLA Policies via Pre-Imagined Milestone Selection

Hyung-Sin Kim, Suyeon Shin, Hyundo Lee et al.• 2026

Federated Learning
★ 157
Exploring Extrinsic and Intrinsic Properties for Effective Reasoning with Code Interpreter

Exploring Extrinsic and Intrinsic Properties for Effective Reasoning with Code Interpreter

Pittawat Taveekitworachai, Panjapong Poobanchuen, Samuel Cahyawijaya et al.• 2026

Federated Learning
★ 40
WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning

WISE: A Long-Horizon Agent in Minecraft with Why-Which Reasoning

Renmin Cheng, Changhao Chen• 2026

Federated Learning
★ 121
QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation

Prerana Ramkumar, Nouhaila Innan, Muhammad Shafique• 2026

Federated Learning
★ 63
Beyond Generative Decoding: Discriminative Hidden-State Readout from a Native Omni-Modal LLM for Multimodal Sentiment Analysis

Beyond Generative Decoding: Discriminative Hidden-State Readout from a Native Omni-Modal LLM for Multimodal Sentiment Analysis

Tien-Ping Tan, Bin Wen• 2026

Federated Learning
★ 136
From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails

From Shield to Target: Denial-of-Service Attacks on LLM-Based Agent Guardrails

Pingchuan Ma, Zhaoyu Wang, Shuai Wang et al.• 2026

Federated Learning
★ 111
Thinking with Visual Grounding

Thinking with Visual Grounding

Wei Wang, Junkai Zhang, Kai-Wei Chang et al.• 2026

Federated Learning
★ 149
Predictive Style Matching: Natural and Robust Humanoid Locomotion

Predictive Style Matching: Natural and Robust Humanoid Locomotion

Ekaterina Chaikovskaia, Eduard Zaliaev, Egor Davydenko et al.• 2026

Federated Learning
★ 150
Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems

Frequency-Domain Neural ODEs for Modeling Non-Linear Dynamical Systems

Ayman A. El-Badawy, Mohammed Ashraf• 2026

Federated Learning
★ 179
TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution

TT-DAC-PS: Twin-Target Deterministic Actor-Critic with Policy Smoothing for Optimal Trade Execution

Alfonso Dufour, Julian Kunkel, Ilia Zaznov et al.• 2026

Federated Learning
★ 163
EERLoss: A Novel Loss Function for Training Deep Biometric Models. A Case Study in Keystroke Dynamics

EERLoss: A Novel Loss Function for Training Deep Biometric Models. A Case Study in Keystroke Dynamics

Ruben Vera-Rodriguez, Marta Robledo-Moreno, Nahuel Gonzalez et al.• 2026

Federated Learning
★ 154
Adam Converges in Nonsmooth Nonconvex Optimization

Adam Converges in Nonsmooth Nonconvex Optimization

Zijian Liu• 2026

Federated Learning
★ 192
A Theoretical Framework for Risk Analysis of Stochastic Rankers

A Theoretical Framework for Risk Analysis of Stochastic Rankers

Debasis Ganguly• 2026

Federated Learning
★ 97
The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models

The Last Visible Pixel: Probing Fine-Scale Perception in Vision-Language Models

Lama Sleem, Yangjie Xu, Niccolo Gentile et al.• 2026

Federated Learning
★ 149
LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction

LUCID: Learned Undersampling-Adaptive Consistency-Guided Inference with Deterministic Flow Matching for Sparse-View CT Reconstruction

Xing Zhao, Genwei Ma, Jigang Duan et al.• 2026

Federated Learning
★ 46
LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling

LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling

Xi Su, Hao Yang, Lingchuan Liu et al.• 2026

Federated Learning
★ 59
PrivacyAlign: Contextual Privacy Alignment for LLM Agents

PrivacyAlign: Contextual Privacy Alignment for LLM Agents

Marc-Etienne Brunet, Perouz Taslakian, Manveer Singh Tamber et al.• 2026

Federated Learning
★ 84
VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network

VICX: Generalizable Robot Manipulation via Video Generation and In-Context Operator Network

Linyan Xiang, Song Chen, Liu Yang et al.• 2026

Federated Learning
★ 148
Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation

Achieving Precise Text-To-Cypher Via Grounded Knowledge Graph Data Generation

Jessica Lennon, Francesco Cazzaro, Ariadna Quattoni• 2026

Federated Learning
★ 184
APPO: Agentic Procedural Policy Optimization

APPO: Agentic Procedural Policy Optimization

Yuxiang Ji, Xucong Wang, Xiangxiang Chu et al.• 2026

Federated Learning
★ 139