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

Personalized Federated Learning towards Communication Efficiency, Robustness and Fairness NIPS 2022
Distributed Randomized Sketching Kernel Learning AAAI 2022
Optimal Compression of Locally Differentially Private Mechanisms AISTATS 2022
Hierarchical Channel-spatial Encoding for Communication-efficient Collaborative Learning NIPS 2022
Communication Efficient Federated Learning for Generalized Linear Bandits NIPS 2022
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems ICML 2022
Neural Tangent Kernel Empowered Federated Learning ICML 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training ICML 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization NIPS 2022
Private and Communication-Efficient Algorithms for Entropy Estimation NIPS 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022
A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning NIPS 2022
Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning NIPS 2022
Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation EMNLP 2022
Personalized Online Federated Learning with Multiple Kernels NIPS 2022
Scaling Language Model Size in Cross-Device Federated Learning ACL 2022
Elastic Consistency: A Practical Consistency Model for Distributed Stochastic Gradient Descent AAAI 2021
Federated Learning with Dynamic Transformer for Text to Speech INTERSPEECH 2021
DRIVE: One-bit Distributed Mean Estimation NIPS 2021
Escaping Saddle Points with Compressed SGD NIPS 2021
Error Compensated Distributed SGD Can Be Accelerated NIPS 2021
Communication-efficient SGD: From Local SGD to One-Shot Averaging NIPS 2021
SGD with low-dimensional gradients with applications to private and distributed learning UAI 2021
Communication efficient parallel reinforcement learning UAI 2021
CADA: Communication-Adaptive Distributed Adam AISTATS 2021