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conftrace_

communication efficiency

330 papers

Papers

SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration AAAI 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023 Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NeurIPS 2023 Beyond Lipschitz Smoothness: A Tighter Analysis for Nonconvex Optimization ICML 2023 Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NeurIPS 2023 Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023 Communication-Efficient Collaborative Best Arm Identification AAAI 2023 Communication-Efficient Federated Bilevel Optimization with Global and Local Lower Level Problems NeurIPS 2023 Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023 Communication Efficient Federated Learning for Multilingual Neural Machine Translation with Adapter ACL 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Communication-Efficient Stochastic Gradient Descent Ascent with Momentum Algorithms IJCAI 2023 Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples ICCV 2023 Complement Sparsification: Low-Overhead Model Pruning for Federated Learning AAAI 2023 CoPriv: Network/Protocol Co-Optimization for Communication-Efficient Private Inference NeurIPS 2023 Correlation Aware Sparsified Mean Estimation Using Random Projection NeurIPS 2023 Decentralized Learning With Multi-Headed Distillation CVPR 2023 Distributed Extra-gradient with Optimal Complexity and Communication Guarantees ICLR 2023 DoCoFL: Downlink Compression for Cross-Device Federated Learning ICML 2023 DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023