PubSwap: Public-Data Off-Policy Coordination for Federated RLVR
Fuente:
arXiv
Saved in:
| Main Authors: | Nayak, Anupam, Askin, Baris, Ustaomeroglu, Muhammed, Joe-Wong, Carlee, Joshi, Gauri |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer
by: Askin, Baris, et al.
Published: (2026)
by: Askin, Baris, et al.
Published: (2026)
Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
Federated Communication-Efficient Multi-Objective Optimization
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
FedAST: Federated Asynchronous Simultaneous Training
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
by: Askin, Baris, et al.
Published: (2026)
by: Askin, Baris, et al.
Published: (2026)
Reviving Stale Updates: Data-Free Knowledge Distillation for Asynchronous Federated Learning
by: Askin, Baris, et al.
Published: (2025)
by: Askin, Baris, et al.
Published: (2025)
Ravan: Multi-Head Low-Rank Adaptation for Federated Fine-Tuning
by: Raje, Arian, et al.
Published: (2025)
by: Raje, Arian, et al.
Published: (2025)
Not All Turns Are Equally Hard: Adaptive Thinking Budgets For Efficient Multi-Turn Reasoning
by: Jali, Neharika, et al.
Published: (2026)
by: Jali, Neharika, et al.
Published: (2026)
MELINOE: Fine-Tuning Enables Memory-Efficient Inference for Mixture-of-Experts Models
by: Raje, Arian, et al.
Published: (2026)
by: Raje, Arian, et al.
Published: (2026)
Towards Effective Theory of LLMs: A Representation Learning Approach
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
Data-Efficient RLVR via Off-Policy Influence Guidance
by: Zhu, Erle, et al.
Published: (2025)
by: Zhu, Erle, et al.
Published: (2025)
BLOCK-EM: Preventing Emergent Misalignment via Latent Blocking
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
by: Ustaomeroglu, Muhammed, et al.
Published: (2026)
Federated Learning with Flexible Architectures
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
A Theoretical Study of (Hyper) Self-Attention through the Lens of Interactions: Representation, Training, Generalization
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
by: Ustaomeroglu, Muhammed, et al.
Published: (2025)
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
by: Lin, I-Cheng, et al.
Published: (2024)
by: Lin, I-Cheng, et al.
Published: (2024)
FedTLU: Federated Learning with Targeted Layer Updates
by: Park, Jong-Ik, et al.
Published: (2024)
by: Park, Jong-Ik, et al.
Published: (2024)
Transformer-Based Scalable Multi-Agent Reinforcement Learning for Networked Systems with Long-Range Interactions
by: Sinha, Vidur, et al.
Published: (2025)
by: Sinha, Vidur, et al.
Published: (2025)
MIRA: Memory-Integrated Reinforcement Learning Agent with Limited LLM Guidance
by: Nourzad, Narjes, et al.
Published: (2026)
by: Nourzad, Narjes, et al.
Published: (2026)
Memory-Based Advantage Shaping for LLM-Guided Reinforcement Learning
by: Nourzad, Narjes, et al.
Published: (2026)
by: Nourzad, Narjes, et al.
Published: (2026)
Neural Combinatorial Clustered Bandits for Recommendation Systems
by: Atalar, Baran, et al.
Published: (2024)
by: Atalar, Baran, et al.
Published: (2024)
M3Net: A Multi-Metric Mixture of Experts Network Digital Twin with Graph Neural Networks
by: Guda, Blessed, et al.
Published: (2025)
by: Guda, Blessed, et al.
Published: (2025)
Achieving Logarithmic Regret in KL-Regularized Zero-Sum Markov Games
by: Nayak, Anupam, et al.
Published: (2025)
by: Nayak, Anupam, et al.
Published: (2025)
Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2025)
by: Juneja, Ishank, et al.
Published: (2025)
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices
by: Woo, Jiin, et al.
Published: (2024)
by: Woo, Jiin, et al.
Published: (2024)
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
by: Ambekar, Siddharth, et al.
Published: (2024)
by: Ambekar, Siddharth, et al.
Published: (2024)
Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
by: Kim, Taejin, et al.
Published: (2023)
by: Kim, Taejin, et al.
Published: (2023)
Improving the Convergence of Private Shuffled Gradient Methods with Public Data
by: Jiang, Shuli, et al.
Published: (2025)
by: Jiang, Shuli, et al.
Published: (2025)
Cost-Ordered Feasibility for Multi-Armed Bandits with Cost Subsidy
by: Juneja, Ishank, et al.
Published: (2026)
by: Juneja, Ishank, et al.
Published: (2026)
Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry
by: Zhang, Zuyuan, et al.
Published: (2026)
by: Zhang, Zuyuan, et al.
Published: (2026)
Neural Bandit Based Optimal LLM Selection for a Pipeline of Subtasks
by: Atalar, Baran, et al.
Published: (2025)
by: Atalar, Baran, et al.
Published: (2025)
Adaptive Federated Learning via Dynamical System Model
by: Agarwal, Aayushya, et al.
Published: (2025)
by: Agarwal, Aayushya, et al.
Published: (2025)
An LLM-Based Digital Twin for Optimizing Human-in-the Loop Systems
by: Yang, Hanqing, et al.
Published: (2024)
by: Yang, Hanqing, et al.
Published: (2024)
FedECADO: A Dynamical System Model of Federated Learning
by: Agarwal, Aayushya, et al.
Published: (2024)
by: Agarwal, Aayushya, et al.
Published: (2024)
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics
by: Xiang, Ming, et al.
Published: (2024)
by: Xiang, Ming, et al.
Published: (2024)
RLVR without Ineffective Samples: Group Prioritized Off-Policy Optimization for LLM Reasoning
by: Mao, Yixiu, et al.
Published: (2026)
by: Mao, Yixiu, et al.
Published: (2026)
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability
by: Xiang, Ming, et al.
Published: (2024)
by: Xiang, Ming, et al.
Published: (2024)
CoRAST: Towards Foundation Model-Powered Correlated Data Analysis in Resource-Constrained CPS and IoT
by: Hu, Yi, et al.
Published: (2024)
by: Hu, Yi, et al.
Published: (2024)
HumekaFL: Automated Detection of Neonatal Asphyxia Using Federated Learning
by: Zantou, Pamely, et al.
Published: (2024)
by: Zantou, Pamely, et al.
Published: (2024)
The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMs
by: Chen, Jingdi, et al.
Published: (2026)
by: Chen, Jingdi, et al.
Published: (2026)
Evaluating Selective Encryption Against Gradient Inversion Attacks
by: Gu, Jiajun, et al.
Published: (2025)
by: Gu, Jiajun, et al.
Published: (2025)
Similar Items
-
Emergent and Subliminal Misalignment Through the Lens of Data-Mediated Transfer
by: Askin, Baris, et al.
Published: (2026) -
Internal Planning in Language Models: Characterizing Horizon and Branch Awareness
by: Ustaomeroglu, Muhammed, et al.
Published: (2025) -
Federated Communication-Efficient Multi-Objective Optimization
by: Askin, Baris, et al.
Published: (2024) -
FedAST: Federated Asynchronous Simultaneous Training
by: Askin, Baris, et al.
Published: (2024) -
Federate the Router: Learning Language Model Routers with Sparse and Decentralized Evaluations
by: Askin, Baris, et al.
Published: (2026)