Cover Image

Generalizing Differentially Private Decentralized Deep Learning with Multi-Agent Consensus

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Bayrooti, Jasmine, Gao, Zhan, Prorok, Amanda
Format:	Preprint
Published:	2023
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Generalized Intention Modeling in Multi-Agent Reinforcement Learning
by: Odrowaz-Sypniewski, Mateusz, et al.
Published: (2026)

Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling
by: Bayrooti, Jasmine, et al.
Published: (2024)

BenchMARL: Benchmarking Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2023)

When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
by: Amir, Michael, et al.
Published: (2025)

Controlling Behavioral Diversity in Multi-Agent Reinforcement Learning
by: Bettini, Matteo, et al.
Published: (2024)

System Neural Diversity: Measuring Behavioral Heterogeneity in Multi-Agent Learning
by: Bettini, Matteo, et al.
Published: (2023)

No-Regret Thompson Sampling for Finite-Horizon Markov Decision Processes with Gaussian Processes
by: Bayrooti, Jasmine, et al.
Published: (2025)

Co-Optimizing Reconfigurable Environments and Policies for Decentralized Multi-Agent Navigation
by: Gao, Zhan, et al.
Published: (2024)

Scaling Multi-Agent Environment Co-Design with Diffusion Models
by: Li, Hao Xiang, et al.
Published: (2025)

ReCoDe: Reinforcement Learning-based Dynamic Constraint Design for Multi-Agent Coordination
by: Amir, Michael, et al.
Published: (2025)

Graph Attention-Guided Search for Dense Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2025)

Pairwise is Not Enough: Hypergraph Neural Networks for Multi-Agent Pathfinding
by: Jain, Rishabh, et al.
Published: (2026)

Language-Conditioned Offline RL for Multi-Robot Navigation
by: Morad, Steven, et al.
Published: (2024)

Dyn-D$^2$P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
by: Zhu, Zehan, et al.
Published: (2025)

The impact of behavioral diversity in multi-agent reinforcement learning
by: Bettini, Matteo, et al.
Published: (2024)

Recurrent Reinforcement Learning with Memoroids
by: Morad, Steven, et al.
Published: (2024)

Towards Differentially Private Reinforcement Learning with General Function Approximation
by: He, Yi, et al.
Published: (2026)

Differentially Private Deep Model-Based Reinforcement Learning
by: Rio, Alexandre, et al.
Published: (2024)

Reaching Consensus in Cooperative Multi-Agent Reinforcement Learning with Goal Imagination
by: Wang, Liangzhou, et al.
Published: (2024)

Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning
by: Ranaweera, Kanishka, et al.
Published: (2025)

Differentially Private Block-wise Gradient Shuffle for Deep Learning
by: Zagardo, David
Published: (2024)

Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
by: Mahran, Youssef, et al.
Published: (2026)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)

Goal-Oriented Multi-Agent Reinforcement Learning for Decentralized Agent Teams
by: Du, Hung, et al.
Published: (2025)

Consensus-based Decentralized Multi-agent Reinforcement Learning for Random Access Network Optimization
by: Oh, Myeung Suk, et al.
Published: (2025)

Learning Mixture Density via Natural Gradient Expectation Maximization
by: Chen, Yutao, et al.
Published: (2026)

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)

Scalable Constrained Multi-Agent Reinforcement Learning via State Augmentation and Consensus for Separable Dynamics
by: Amaya-Corredor, Santiago, et al.
Published: (2026)

Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024)

Reward-Independent Messaging for Decentralized Multi-Agent Reinforcement Learning
by: Yoshida, Naoto, et al.
Published: (2025)

Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
by: Corazza, Jan, et al.
Published: (2025)

Scaling Up Data Parallelism in Decentralized Deep Learning
by: Xie, Bing, et al.
Published: (2025)

Bridging MARL to SARL: An Order-Independent Multi-Agent Transformer via Latent Consensus
by: Zhao, Zijian, et al.
Published: (2026)

VariAntNet: Learning Decentralized Control of Multi-Agent Systems
by: Koifman, Yigal, et al.
Published: (2025)

TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
by: Paolo, Giuseppe, et al.
Published: (2025)

Fully Decentralized Cooperative Multi-Agent Reinforcement Learning: A Survey
by: Jiang, Jiechuan, et al.
Published: (2024)

A Semi Centralized Training Decentralized Execution Architecture for Multi Agent Deep Reinforcement Learning in Traffic Signal Control
by: Rezaali, Arash, et al.
Published: (2025)

Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
by: Zhang, Ke, et al.
Published: (2024)

Learning with Differentially Private (Sliced) Wasserstein Gradients
by: Rodríguez-Vítores, David, et al.
Published: (2025)

Statistical Limits and Efficient Algorithms for Differentially Private Federated Learning
by: Auddy, Arnab, et al.
Published: (2026)