distributed learning

563 papers

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Also known as

DL-DCL DML

Co-occurring keywords

federated learning (1320) stochastic gradient descent (1088) communication efficiency (297) distributed optimization (275) stochastic optimization (1060) decentralized optimization (113) communication complexity (99) distributed training (187) gradient compression (78) gradient descent (1143)

Papers

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025

Towards Privacy-Preserving Split Learning for ControlNet WACV 2025

DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025

ActionStudio: A Lightweight Framework for Data and Training of Large Action Models EMNLP 2025

Distributed Cascaded Manifold Hashing Network for Compact Image Set Representation IJCAI 2025

Scalable Decentralized Learning with Teleportation ICLR 2025

Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract) AAAI 2025

BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025

Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025

IBAS:Imperceptible Backdoor Attacks in Split Learning with Limited Information AAAI 2025

SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025

Asynchronous Distributed Gaussian Process Regression AAAI 2025

WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025

Selective Inference with Distributed Data JMLR 2025

Multi-player Multi-armed Bandits with Delayed Feedback IJCAI 2025

FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025

DCILP: A Distributed Approach for Large-Scale Causal Structure Learning AAAI 2025

FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data EMNLP 2025

One-shot Federated Learning Methods: A Practical Guide IJCAI 2025

UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming CVPR 2025

Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning CVPR 2025

Ordered Momentum for Asynchronous SGD NIPS 2024

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024

Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NIPS 2024

Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024