PengchaoHan / Adaptive_Gradient_Sparsification_FL
Adaptive gradient sparsification for efficient federated learning: an online learning approach
☆18Updated 4 years ago
Alternatives and similar repositories for Adaptive_Gradient_Sparsification_FL:
Users that are interested in Adaptive_Gradient_Sparsification_FL are comparing it to the libraries listed below
- ☆54Updated 3 years ago
- ☆28Updated 2 years ago
- ☆31Updated 2 years ago
- ☆23Updated 3 years ago
- Code for paper "Byzantine-Resilient Distributed Finite-Sum Optimization over Networks"☆18Updated 4 years ago
- Repo. for IPSN 2022 paper: "BalanceFL: Addressing Class Imbalance in Long-Tail Federated Learning".☆24Updated 2 years ago
- Official implementation of "Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective"☆55Updated last year
- Robust aggregation for federated learning with the RFA algorithm.☆47Updated 2 years ago
- [ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time☆41Updated last year
- This is the code repository for the following paper: "Model pruning enables efficient federated learning on edge devices".☆81Updated 2 years ago
- ☆26Updated 4 years ago
- FedMD: Heterogenous Federated Learning via Model Distillation☆16Updated 5 years ago
- Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent (ICLR 2021)☆20Updated 3 years ago
- Codebase for An Efficient Framework for Clustered Federated Learning.☆109Updated 4 years ago
- This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.☆44Updated last year
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆43Updated last year
- Source code for ECML-PKDD (2020) paper: FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learn…☆16Updated 2 years ago
- Federated Dynamic Sparse Training☆29Updated 2 years ago
- Diverse Client Selection for Federated Learning via Submodular Maximization☆29Updated 2 years ago
- ☆23Updated last year
- Differentially Private Federated Learning on Heterogeneous Data☆60Updated 2 years ago
- Implementing the algorithm from our paper: "A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in …☆34Updated 8 months ago
- ☆38Updated 3 years ago
- FedGroup, A Clustered Federated Learning framework based on Tensorflow☆38Updated 3 years ago
- The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clien…☆74Updated last year
- PyTorch implementation of Security-Preserving Federated Learning via Byzantine-Sensitive Triplet Distance☆33Updated 4 months ago
- This repository contains the official implementation for the manuscript: Make Landscape Flatter in Differentially Private Federated Lear…☆46Updated last year
- A list of papers using/about Federated Learning especially malicious client and attacks.☆12Updated 4 years ago
- Decentralized federated learning of deep neural networks on non-iid data☆40Updated 2 years ago
- FedBE: Making Bayesian Model Ensemble Applicable to Federated Learning☆38Updated last year