conftrace_

communication efficiency

297 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) model compression (3302) gradient compression (78) distributed training (188) stochastic optimization (1060) differential privacy (1016) decentralized learning (103)

Papers

Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation ICML 2023
Private Federated Learning with Autotuned Compression ICML 2023
Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning ICML 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023
A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NIPS 2023
Communication-Efficient Collaborative Best Arm Identification AAAI 2023
FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks NIPS 2023
Exact Optimality of Communication-Privacy-Utility Tradeoffs in Distributed Mean Estimation NIPS 2023
Birder: Communication-Efficient 1-bit Adaptive Optimizer for Practical Distributed DNN Training NIPS 2023
FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer IJCAI 2023
How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception NIPS 2023
SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning NIPS 2023
DSGD-CECA: Decentralized SGD with Communication-Optimal Exact Consensus Algorithm ICML 2023
Correlation Aware Sparsified Mean Estimation Using Random Projection NIPS 2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence NIPS 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates NIPS 2023
Decentralized Learning With Multi-Headed Distillation CVPR 2023
FedOBD: Opportunistic Block Dropout for Efficiently Training Large-scale Neural Networks through Federated Learning IJCAI 2023
GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023
Nothing but Regrets — Privacy-Preserving Federated Causal Discovery AISTATS 2023
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning CVPR 2023