Copertina

Semantic-Constrained Federated Aggregation: Convergence Theory and Privacy-Utility Bounds for Knowledge-Enhanced Distributed Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Arafat, Jahidul
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning 68T05, 68W15, 62F15 I.2.6; I.2.11; H.2.8
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Client-Conditional Federated Learning via Local Training Data Statistics
di: Brännvall, Rickard
Pubblicazione: (2026)

AI Agents: Evolution, Architecture, and Real-World Applications
di: Krishnan, Naveen
Pubblicazione: (2025)

Adaptive Minds: Empowering Agents with LoRA-as-Tools
di: Shekar, Pavan C, et al.
Pubblicazione: (2025)

The Six Sigma Agent: Achieving Enterprise-Grade Reliability in LLM Systems Through Consensus-Driven Decomposed Execution
di: Patel, Khush, et al.
Pubblicazione: (2026)

Multi-Agent Decision-Focused Learning via Value-Aware Sequential Communication
di: Amoh, Benjamin, et al.
Pubblicazione: (2026)

Safe Distributed Control of Multi-Robot Systems with Communication Delays
di: Ballotta, Luca, et al.
Pubblicazione: (2024)

LLM-Assisted Iterative Evolution with Swarm Intelligence Toward SuperBrain
di: Weigang, Li, et al.
Pubblicazione: (2025)

NeurOptimisation: The Spiking Way to Evolve
di: Cruz-Duarte, Jorge Mario, et al.
Pubblicazione: (2025)

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems
di: MacKinlay, Dan, et al.
Pubblicazione: (2024)

Memory-Augmented State Machine Prompting: A Novel LLM Agent Framework for Real-Time Strategy Games
di: Qi, Runnan, et al.
Pubblicazione: (2025)

On the Fundamental Limitations of Decentralized Learnable Reward Shaping in Cooperative Multi-Agent Reinforcement Learning
di: Akella, Aditya
Pubblicazione: (2025)

When Does Global Attention Help? A Unified Empirical Study on Atomistic Graph Learning
di: Chowdhury, Arindam, et al.
Pubblicazione: (2025)

Can a Bayesian Oracle Prevent Harm from an Agent?
di: Bengio, Yoshua, et al.
Pubblicazione: (2024)

A Systematic Review of Digital Twin-Driven Predictive Maintenance in Industrial Engineering: Taxonomy, Architectural Elements, and Future Research Directions
di: Ismail, Leila, et al.
Pubblicazione: (2025)

Enhancing Diversity in Multi-objective Feature Selection
di: Miyandoab, Sevil Zanjani, et al.
Pubblicazione: (2024)

Federated Learning and Class Imbalances
di: Zhu, Siqi, et al.
Pubblicazione: (2026)

SCOPE: Selective Conformal Optimized Pairwise LLM Judging
di: Badshah, Sher, et al.
Pubblicazione: (2026)

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids
di: Pasini, Massimiliano Lupo, et al.
Pubblicazione: (2026)

Exascale Multi-Task Graph Foundation Models for Imbalanced, Multi-Fidelity Atomistic Data
di: Pasini, Massimiliano Lupo, et al.
Pubblicazione: (2026)

Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning
di: Koubaa, Anis, et al.
Pubblicazione: (2025)

STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery
di: Su, Jiarui, et al.
Pubblicazione: (2026)

TRIZ Agents: A Multi-Agent LLM Approach for TRIZ-Based Innovation
di: Szczepanik, Kamil, et al.
Pubblicazione: (2025)

Collaborative LLM Agents for C4 Software Architecture Design Automation
di: Szczepanik, Kamil, et al.
Pubblicazione: (2025)

Your Data, My Model: Learning Who Really Helps in Federated Learning
di: Abdurakhmanova, Shamsiiat, et al.
Pubblicazione: (2024)

SmartEdge: Smart Healthcare End-to-End Integrated Edge and Cloud Computing System for Diabetes Prediction Enabled by Ensemble Machine Learning
di: Hennebelle, Alain, et al.
Pubblicazione: (2025)

Mimosa Framework: Toward Evolving Multi-Agent Systems for Scientific Research
di: Legrand, Martin, et al.
Pubblicazione: (2026)

Mastering NIM and Impartial Games with Weak Neural Networks: An AlphaZero-inspired Multi-Frame Approach
di: Riis, Søren
Pubblicazione: (2024)

Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
di: Pepe, Alberto, et al.
Pubblicazione: (2026)

Territory Paint Wars: Diagnosing and Mitigating Failure Modes in Competitive Multi-Agent PPO
di: Singh, Diyansha
Pubblicazione: (2026)

optimize_anything: A Universal API for Optimizing any Text Parameter
di: Agrawal, Lakshya A, et al.
Pubblicazione: (2026)

Generative AI and the Transformation of Software Development Practices
di: Acharya, Vivek
Pubblicazione: (2025)

An Improved Adaptive PID Optimizer with Enhanced Convergence and Stability for Deep Learning
di: Saini, Saurabh, et al.
Pubblicazione: (2026)

AGNES: Adaptive Graph Neural Network and Dynamic Programming Hybrid Framework for Real-Time Nanopore Seed Chaining
di: Arafat, Jahidul, et al.
Pubblicazione: (2025)

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

Classifier Calibration at Scale: An Empirical Study of Model-Agnostic Post-Hoc Methods
di: Manokhin, Valery, et al.
Pubblicazione: (2026)

Semantic Variational Bayes Based on Semantic Information G Theory for Solving Latent Variables
di: Lu, Chenguang
Pubblicazione: (2024)

NeuroState-Bench: A Human-Calibrated Benchmark for Commitment Integrity in LLM Agent Profiles
di: Jia, Xiao
Pubblicazione: (2026)

Dynamic Dual-Granularity Skill Bank for Agentic RL
di: Tu, Songjun, et al.
Pubblicazione: (2026)

Agentic, Context-Aware Risk Intelligence in the Internet of Value
di: Magableh, Basel, et al.
Pubblicazione: (2026)

N-Agent Ad Hoc Teamwork
di: Wang, Caroline, et al.
Pubblicazione: (2024)