distributed learning

Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning NeurIPS 2024 Federated Online Adaptation for Deep Stereo CVPR 2024 FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 Graphical Multioutput Gaussian Process with Attention ICLR 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024 High-Fidelity Gradient Inversion in Distributed Learning AAAI 2024 Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024 HyDiscGAN: A Hybrid Distributed cGAN for Audio-Visual Privacy Preservation in Multimodal Sentiment Analysis IJCAI 2024 HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning NeurIPS 2024 Hyperparameter-Free Medical Image Synthesis for Sharing Data and Improving Site-Specific Segmentation MIDL 2024 Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning ICLR 2024 Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024 JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024 Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models NeurIPS 2024 Leveraging partial stragglers within gradient coding NeurIPS 2024 LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024 Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks NeurIPS 2024 Low Precision Local Training is Enough for Federated Learning NeurIPS 2024 Mean Aggregator Is More Robust than Robust Aggregators under Label Poisoning Attacks IJCAI 2024 Multi-agent assignment via state augmented reinforcement learning L4DC 2024 Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels AISTATS 2024 Nearly Optimal Regret for Decentralized Online Convex Optimization COLT 2024 Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NeurIPS 2024