conftrace_

decentralized learning

103 papers

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Also known as

DL

Co-occurring keywords

federated learning (1333) multi-agent reinforcement learning (538) multi-agent system (1819) distributed optimization (275) communication efficiency (297) distributed learning (563) distributed training (188) decentralized optimization (113) model aggregation (156) non-convex optimization (547)

Papers

Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021
Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021
Collaborative Learning in the Jungle (Decentralized, Byzantine, Heterogeneous, Asynchronous and Nonconvex Learning) NIPS 2021
Improving Multi-agent Coordination by Learning to Estimate Contention IJCAI 2021
Decentralized Multi-player Multi-armed Bandits with No Collision Information AISTATS 2020
Distributed Primal-Dual Optimization for Online Multi-Task Learning AAAI 2020
Moniqua: Modulo Quantized Communication in Decentralized SGD ICML 2020
Finite-Time Analysis of Decentralized Temporal-Difference Learning with Linear Function Approximation AISTATS 2020
Regret Bounds for Decentralized Learning in Cooperative Multi-Agent Dynamical Systems UAI 2020
The Non-IID Data Quagmire of Decentralized Machine Learning ICML 2020
The Gossiping Insert-Eliminate Algorithm for Multi-Agent Bandits AISTATS 2020
Decentralized Langevin Dynamics for Bayesian Learning NIPS 2020
Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts NIPS 2020
Learning to Improve Multi-Robot Hallway Navigation CORL 2020
Practical Low-Rank Communication Compression in Decentralized Deep Learning NIPS 2020
Quantized Decentralized Stochastic Learning over Directed Graphs ICML 2020
Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020
Online Decentralized Leverage Score Sampling for Streaming Multidimensional Time Series AISTATS 2019
Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems AAAI 2019
Personalized and Private Peer-to-Peer Machine Learning AISTATS 2018
COLA: Decentralized Linear Learning NIPS 2018
Fully Decentralized Multi-Agent Reinforcement Learning with Networked Agents ICML 2018
Multi-Agent Reinforcement Learning via Double Averaging Primal-Dual Optimization NIPS 2018
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability ICML 2017