Nesterov Accelerated Shuffling Gradient Method for Convex Optimization
- Trang H. Tran
- Katya Scheinberg
- et al.
- 2022
- ICML 2022
Publications
Data-Efficient Double-Win Lottery Tickets from Robust Pre-training
- Tianlong Chen
- Zhenyu Zhang
- et al.
- 2022
- ICML 2022
Cycle Representation Learning for Inductive Relation Prediction
- Zuoyu Yan
- Tengfei Ma
- et al.
- 2022
- ICML 2022
Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data
- Timothy Castiglia
- Anirban Das
- et al.
- 2022
- ICML 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization
- Songtao Lu
- 2022
- ICML 2022
Towards Scaling Difference Target Propagation by Learning Backprop Targets
- Maxence Ernoult
- Fabrice Normandin
- et al.
- 2022
- ICML 2022
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling
- Hongkang Li
- Meng Wang
- et al.
- 2022
- ICML 2022
JITServer: Disaggregated Caching JIT Compiler for the JVM in the Cloud
- Alexey Khrabrov
- Marius Pirvu
- et al.
- 2022
- USENIX ATC 2022
Monitoring of IoT Systems at the Edge with Transformer-based Graph Convolutional Neural Networks
- Amadou Ba
- Fabio Lorenzi
- et al.
- 2022
- EDGE 2022
Robustness and Personalization in Federated Learning: A Unified Approach via Regularization
- Achintya Kundu
- Pengqian Yu
- et al.
- 2022
- EDGE 2022