☆29May 26, 2023Updated 2 years ago
Alternatives and similar repositories for pFedGate
Users that are interested in pFedGate are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Simulation codes for over-the-air federated learning via second-order optimization☆14Jan 27, 2022Updated 4 years ago
- [ICML 2023] FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction☆29Mar 7, 2024Updated 2 years ago
- Personalized Federated Learning under Mixture of Distributions☆19Jan 2, 2024Updated 2 years ago
- Paper: "Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained Devices"☆18Jan 10, 2024Updated 2 years ago
- Official implementation for paper "No One Idles: Efficient Heterogeneous Federated Learning with Parallel Edge and Server Computation", I…☆17Jul 26, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆165Nov 7, 2022Updated 3 years ago
- The is the official implementation of ICML 2023 paper "Revisiting Weighted Aggregation in Federated Learning with Neural Networks".☆65Aug 28, 2023Updated 2 years ago
- [ICLR 2021] HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients☆182Feb 27, 2023Updated 3 years ago
- ☆16Feb 28, 2023Updated 3 years ago
- [ICML2022] ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training☆23Oct 17, 2022Updated 3 years ago
- LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Co…☆43Nov 16, 2022Updated 3 years ago
- [ICML 2022] "DisPFL: Towards Communication-Efficient Personalized Federated learning via Decentralized Sparse Training"☆83Jul 12, 2022Updated 3 years ago
- [ICML2024] "FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees" by Jiaha…☆14Sep 22, 2024Updated last year
- Four Federated learning datasets for Human Activity Recognition☆57Jul 8, 2023Updated 2 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆17Feb 17, 2024Updated 2 years ago
- This is the official repository of L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representat…☆12May 20, 2024Updated last year
- Heterogeneous Federated Knowledge Graph Embedding Learning and Unlearning, WWW 2023☆29Feb 3, 2023Updated 3 years ago
- Similarity Guided Model Aggregation for Federated Learning☆26Mar 22, 2022Updated 4 years ago
- An End-to-end Mutually Interactive Emotion-Cause Pair Extractor via Soft-sharing☆13Aug 11, 2022Updated 3 years ago
- Personalized Client-Edge-Cloud Hierarchical Federated Learning on Non-IID Data☆11Sep 7, 2023Updated 2 years ago
- Official codes for FNBench: Benchmarking Robust Federated Learning against Noisy Labels☆20Feb 24, 2026Updated 2 months ago
- Federated Learning package☆21Aug 16, 2021Updated 4 years ago
- [CVPRW 2023] "Many-Task Federated Learning: A New Problem Setting and A Simple Baseline" by Ruisi Cai, Xiaohan Chen, Shiwei Liu, Jayanth …☆13Aug 28, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆16May 27, 2020Updated 5 years ago
- Our unique contributions are in tools/train/benchmark.☆22Apr 14, 2025Updated last year
- [ICLR-2020] Dynamic Sparse Training: Find Efficient Sparse Network From Scratch With Trainable Masked Layers.☆32Jan 20, 2020Updated 6 years ago
- [ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"☆31Dec 28, 2025Updated 4 months ago
- Produce results of federated algorithms on various benchmarks☆15Oct 11, 2024Updated last year
- DAC系列集成，博客+知识库+导航☆13Sep 16, 2025Updated 7 months ago
- Implementation of "Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes" (https://…☆13May 6, 2024Updated last year
- Implementation of Compressed SGD with Compressed Gradients in Pytorch☆13Jul 25, 2024Updated last year
- ☆12Dec 26, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- A coupled vertical federated learning framework that boosts the model performance with record similarities (NeurIPS 2022)☆28Mar 28, 2023Updated 3 years ago
- Communication-Efficient Feature-based Federated Transfer Learning☆14Jun 20, 2024Updated last year
- [EAAI 2024] A federated distillation domain generalization framework for machinery fault diagnosis with data privacy☆14Apr 3, 2024Updated 2 years ago
- 电子科技大学信息与软件学院研究生一年级学科课程资料☆11Dec 17, 2021Updated 4 years ago
- Compression-based decentralized stochastic gradient descent (DSGD) algorithms tailored for digital and analog wireless implementations☆13Jun 26, 2022Updated 3 years ago
- Code for "Practical Low-Rank Communication Compression in Decentralized Deep Learning"☆17Aug 4, 2020Updated 5 years ago
- ☆25Apr 15, 2024Updated 2 years ago