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conftrace_

distributed learning

611 papers

Papers

PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning AAAI 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 Scalable Decentralized Learning with Teleportation ICLR 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 Selective Inference with Distributed Data JMLR 2025 SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process ICLR 2025 Solving Multi-Agent Safe Optimal Control with Distributed Epigraph Form MARL RSS 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 Towards Privacy-Preserving Split Learning for ControlNet WACV 2025 Unbiased and Sign Compression in Distributed Learning: Comparing Noise Resilience via SDEs AISTATS 2025 UniAP: Unifying Inter- and Intra-Layer Automatic Parallelism by Mixed Integer Quadratic Programming CVPR 2025 WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025 Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024 A Comparative Analysis of Federated Learning for Speech-Based Cognitive Decline Detection Interspeech 2024 Adapted Weighted Aggregation in Federated Learning AAAI 2024 A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs NeurIPS 2024 A Kernel Perspective on Distillation-based Collaborative Learning NeurIPS 2024 A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024 An Efficient Stochastic Algorithm for Decentralized Nonconvex-Strongly-Concave Minimax Optimization AISTATS 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024 A Systematic Survey on Federated Semi-supervised Learning IJCAI 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024 B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data NeurIPS 2024