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

PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks AAAI 2026

Client-level Active Error Correction in Distributed Learning AAAI 2026

Decentralized Online Convex Optimization with Unknown Feedback Delays AAAI 2026

High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026

Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning AAAI 2026

Bant: Byzantine Antidote via Trial Function and Trust Scores AAAI 2026

FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters AAAI 2026

Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks AAAI 2026

Selective Inference with Distributed Data JMLR 2025

Federated Voxel Scene Graph for Intracranial Hemorrhage WACV 2025

Decentralized Diffusion Models CVPR 2025

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025

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

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

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

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

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

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

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

Asynchronous Distributed Gaussian Process Regression AAAI 2025

Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025

Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025

Towards Privacy-Preserving Split Learning for ControlNet WACV 2025

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

Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025