MengjiaoZhang / DBCL
Code for Double Blind CollaborativeLearning (DBCL)
☆14Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for DBCL
- Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank?☆13Updated 2 years ago
- [NeurIPS‘2021] "MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge", Geng Yuan, Xiaolong Ma, Yanzhi Wang et al…☆18Updated 2 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆20Updated 2 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆12Updated last year
- vector quantization for stochastic gradient descent.☆33Updated 4 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆52Updated 3 years ago
- InstaHide: Instance-hiding Schemes for Private Distributed Learning☆50Updated 4 years ago
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆24Updated last year
- Federated Learning with Partial Model Personalization☆42Updated 2 years ago
- ☆27Updated last year
- This repository is the official implementation of 'EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Lea…☆14Updated 2 years ago
- ☆15Updated 9 months ago
- Data-free knowledge distillation using Gaussian noise (NeurIPS paper)☆15Updated last year
- Private Adaptive Optimization with Side Information (ICML '22)☆16Updated 2 years ago
- A Sparse-tensor Communication Framework for Distributed Deep Learning☆13Updated 3 years ago
- [ICLR 2021: Spotlight] Source code for the paper "A Panda? No, It's a Sloth: Slowdown Attacks on Adaptive Multi-Exit Neural Network Infer…☆15Updated 2 years ago
- Experiments from "The Generalization-Stability Tradeoff in Neural Network Pruning": https://arxiv.org/abs/1906.03728.☆14Updated 4 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆16Updated last year
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆40Updated 2 years ago
- [ICLR 2022] "Sparsity Winning Twice: Better Robust Generalization from More Efficient Training" by Tianlong Chen*, Zhenyu Zhang*, Pengjun…☆37Updated 2 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆40Updated last year
- Federated Learning Framework Benchmark (UniFed)☆47Updated last year
- ☆26Updated 11 months ago
- Code for Neurips 2020 paper "Byzantine Resilient Distributed Multi-Task Learning"☆9Updated 4 years ago
- FedDANE: A Federated Newton-Type Method (Asilomar Conference on Signals, Systems, and Computers ‘19)☆24Updated last year
- ☆11Updated 2 years ago
- ☆23Updated 3 years ago
- [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…☆23Updated 2 years ago
- ☆12Updated last year