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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

Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024
EM for Mixture of Linear Regression with Clustered Data AISTATS 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NIPS 2024
AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NIPS 2024
Compression with Exact Error Distribution for Federated Learning AISTATS 2024
A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection INTERSPEECH 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024
Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024
High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024
LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024
Compressed and distributed least-squares regression: convergence rates with applications to federated learning JMLR 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
Queuing dynamics of asynchronous Federated Learning AISTATS 2024
Chronic Poisoning: Backdoor Attack against Split Learning AAAI 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
Distributed Estimation on Semi-Supervised Generalized Linear Model JMLR 2024