Decentralized Personalized Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kharrat, Salma, Canini, Marco, Horvath, Samuel |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024)
by: Kharrat, Salma, et al.
Published: (2024)
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
by: He, Chuan, et al.
Published: (2025)
by: He, Chuan, et al.
Published: (2025)
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
by: DeWeese, Alex, et al.
Published: (2024)
by: DeWeese, Alex, et al.
Published: (2024)
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024)
by: Tan, Jing, et al.
Published: (2024)
Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
by: Magnino, Lorenzo, et al.
Published: (2026)
by: Magnino, Lorenzo, et al.
Published: (2026)
Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics
by: Magnino, Lorenzo, et al.
Published: (2025)
by: Magnino, Lorenzo, et al.
Published: (2025)
Every Call is Precious: Global Optimization of Black-Box Functions with Unknown Lipschitz Constants
by: Fourati, Fares, et al.
Published: (2025)
by: Fourati, Fares, et al.
Published: (2025)
Stochastic Approximation with Delayed Updates: Finite-Time Rates under Markovian Sampling
by: Adibi, Arman, et al.
Published: (2024)
by: Adibi, Arman, et al.
Published: (2024)
Flashback: Understanding and Mitigating Forgetting in Federated Learning
by: Aljahdali, Mohammed, et al.
Published: (2024)
by: Aljahdali, Mohammed, et al.
Published: (2024)
Electric Vehicle Routing Problem for Emergency Power Supply: Towards Telecom Base Station Relief
by: Kikuta, Daisuke, et al.
Published: (2024)
by: Kikuta, Daisuke, et al.
Published: (2024)
What Makes Local Updates Effective: The Role of Data Heterogeneity and Smoothness
by: Patel, Kumar Kshitij
Published: (2025)
by: Patel, Kumar Kshitij
Published: (2025)
Thinking Beyond Visibility: A Near-Optimal Policy Framework for Locally Interdependent Multi-Agent MDPs
by: DeWeese, Alex, et al.
Published: (2025)
by: DeWeese, Alex, et al.
Published: (2025)
Mean-Field Control on Sparse Graphs: From Local Limits to GNNs via Neighborhood Distributions
by: Schmidt, Tobias, et al.
Published: (2026)
by: Schmidt, Tobias, et al.
Published: (2026)
Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026)
by: Wang, Zehao, et al.
Published: (2026)
Local Performance vs. Out-of-Distribution Generalization: An Empirical Analysis of Personalized Federated Learning in Heterogeneous Data Environments
by: Hussaini, Mortesa, et al.
Published: (2025)
by: Hussaini, Mortesa, et al.
Published: (2025)
Learning Decentralized Partially Observable Mean Field Control for Artificial Collective Behavior
by: Cui, Kai, et al.
Published: (2023)
by: Cui, Kai, et al.
Published: (2023)
Hierarchical Decentralized Stochastic Control for Cyber-Physical Systems
by: Kaza, Kesav, et al.
Published: (2025)
by: Kaza, Kesav, et al.
Published: (2025)
High-Probability Convergence Guarantees of Decentralized SGD
by: Armacki, Aleksandar, et al.
Published: (2025)
by: Armacki, Aleksandar, et al.
Published: (2025)
MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models
by: Liu, Philip R., et al.
Published: (2025)
by: Liu, Philip R., et al.
Published: (2025)
ProtoMedAgent: Multimodal Clinical Interpretability via Privacy-Aware Agentic Workflows
by: Pellicer, Alvaro Lopez, et al.
Published: (2026)
by: Pellicer, Alvaro Lopez, et al.
Published: (2026)
Picking the Right Specialist: Attentive Neural Process-based Selection of Task-Specialized Models as Tools for Agentic Healthcare Systems
by: Saha, Pramit, et al.
Published: (2026)
by: Saha, Pramit, et al.
Published: (2026)
Gen-n-Val: Agentic Image Data Generation and Validation
by: Huang, Jing-En, et al.
Published: (2025)
by: Huang, Jing-En, et al.
Published: (2025)
AllocMV: Optimal Resource Allocation for Music Video Generation via Structured Persistent State
by: Wang, Huimin, et al.
Published: (2026)
by: Wang, Huimin, et al.
Published: (2026)
FEAT: A Multi-Agent Forensic AI System with Domain-Adapted Large Language Model for Automated Cause-of-Death Analysis
by: Shen, Chen, et al.
Published: (2025)
by: Shen, Chen, et al.
Published: (2025)
LongVideoAgent: Multi-Agent Reasoning with Long Videos
by: Liu, Runtao, et al.
Published: (2025)
by: Liu, Runtao, et al.
Published: (2025)
ToolTok: Tool Tokenization for Efficient and Generalizable GUI Agents
by: Wang, Xiaoce, et al.
Published: (2026)
by: Wang, Xiaoce, et al.
Published: (2026)
Experience-Driven Multi-Agent Systems Are Training-free Context-aware Earth Observers
by: Dai, Pengyu, et al.
Published: (2026)
by: Dai, Pengyu, et al.
Published: (2026)
VQQA: An Agentic Approach for Video Evaluation and Quality Improvement
by: Song, Yiwen, et al.
Published: (2026)
by: Song, Yiwen, et al.
Published: (2026)
RADAR: A Risk-Aware Dynamic Multi-Agent Framework for LLM Safety Evaluation via Role-Specialized Collaboration
by: Chen, Xiuyuan, et al.
Published: (2025)
by: Chen, Xiuyuan, et al.
Published: (2025)
GPS-MTM: Capturing Pattern of Normalcy in GPS-Trajectories with self-supervised learning
by: Garg, Umang, et al.
Published: (2025)
by: Garg, Umang, et al.
Published: (2025)
Decentralized Online Riemannian Optimization Beyond Hadamard Manifolds
by: Sahinoglu, Emre, et al.
Published: (2025)
by: Sahinoglu, Emre, et al.
Published: (2025)
From Marginal to Joint Predictions: Evaluating Scene-Consistent Trajectory Prediction Approaches for Automated Driving
by: Konstantinidis, Fabian, et al.
Published: (2025)
by: Konstantinidis, Fabian, et al.
Published: (2025)
High-Probability Convergence in Decentralized Stochastic Optimization with Gradient Tracking
by: Armacki, Aleksandar, et al.
Published: (2026)
by: Armacki, Aleksandar, et al.
Published: (2026)
Adaptive Decentralized Composite Optimization via Three-Operator Splitting
by: Chen, Xiaokai, et al.
Published: (2026)
by: Chen, Xiaokai, et al.
Published: (2026)
The Integration of Prediction and Planning in Deep Learning Automated Driving Systems: A Review
by: Hagedorn, Steffen, et al.
Published: (2023)
by: Hagedorn, Steffen, et al.
Published: (2023)
Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL
by: Zhang, Songyuan, et al.
Published: (2025)
by: Zhang, Songyuan, et al.
Published: (2025)
Sim-to-Real Causal Transfer: A Metric Learning Approach to Causally-Aware Interaction Representations
by: Rahimi, Ahmad, et al.
Published: (2023)
by: Rahimi, Ahmad, et al.
Published: (2023)
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning
by: Qin, Yulei, et al.
Published: (2025)
by: Qin, Yulei, et al.
Published: (2025)
Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments
by: Wang, Han, et al.
Published: (2024)
by: Wang, Han, et al.
Published: (2024)
KnowRL: Exploring Knowledgeable Reinforcement Learning for Factuality
by: Ren, Baochang, et al.
Published: (2025)
by: Ren, Baochang, et al.
Published: (2025)
Similar Items
-
ACING: Actor-Critic for Instruction Learning in Black-Box LLMs
by: Kharrat, Salma, et al.
Published: (2024) -
DeMuon: A Decentralized Muon for Matrix Optimization over Graphs
by: He, Chuan, et al.
Published: (2025) -
Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
by: DeWeese, Alex, et al.
Published: (2024) -
Multi-Objective Optimization Using Adaptive Distributed Reinforcement Learning
by: Tan, Jing, et al.
Published: (2024) -
Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
by: Magnino, Lorenzo, et al.
Published: (2026)