CharlieDinh / FedU_FMTLView external linksLinks
This repo implements FedU, a multitask learning framework for federated learning
☆28May 5, 2025Updated 9 months ago
Alternatives and similar repositories for FedU_FMTL
Users that are interested in FedU_FMTL are comparing it to the libraries listed below
Sorting:
- Federated Learning using PyTorch. Second-Order for Federated Learning. (IEEE Transactions on Parallel and Distributed Systems 2022)☆18Jun 10, 2022Updated 3 years ago
- FEDL-Federated Learning algorithm using TensorFlow (Transaction on Networking 2021)☆58Nov 29, 2020Updated 5 years ago
- The code in order to implement FedProx (ICPP 2020)☆29Nov 19, 2020Updated 5 years ago
- This repository implements FEDL using pytorch☆56Nov 6, 2020Updated 5 years ago
- ☆11May 27, 2022Updated 3 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Apr 18, 2022Updated 3 years ago
- demo☆20Jun 29, 2021Updated 4 years ago
- CS525 Group research Paper. A central server uses network topology/clustering algorithm to assign clusters for workers. A special aggrega…☆18Sep 1, 2021Updated 4 years ago
- [NeurIPS'23] FedL2P: Federated Learning to Personalize☆24Nov 8, 2025Updated 3 months ago
- FlexCFL: A clustered federated learning framework based on TF2.0. Support frameworks: FlexCFL, FedGroup, FedAvg, IFCA, FeSEM, et al.☆54Nov 16, 2022Updated 3 years ago
- ☆24Dec 4, 2023Updated 2 years ago
- In this work, we propose a novel formulation titled Federated Deep Q Networks (F-DQN) to perform distributed learning for Deep RL algorit…☆21Dec 25, 2020Updated 5 years ago
- Official implementations for "Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID D…☆22Mar 14, 2024Updated last year
- [KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective …☆26Feb 23, 2023Updated 2 years ago
- ☆31Mar 12, 2023Updated 2 years ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆244Jul 25, 2024Updated last year
- CMFL: Mitigating Communication Overhead for Federated Learning / PyTorch reimplementation.☆29Oct 18, 2019Updated 6 years ago
- Papers related to federated learning in top conferences (2020-2024).☆69Oct 14, 2024Updated last year
- Privacy-Preserving Gradient Boosting Decision Trees (AAAI 2020)☆27Oct 6, 2023Updated 2 years ago
- Self-supervised federated learning for medical imaging - IEEE TMI☆76May 27, 2024Updated last year
- Parallel training on multiple Deep RL agents with Federated Learning approach to gain higher rewards☆35Sep 1, 2022Updated 3 years ago
- Building a Linear Heatmap for Routes☆11Nov 2, 2023Updated 2 years ago
- Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems t…☆86Feb 7, 2024Updated 2 years ago
- Federated Learning over Wireless Networks: Convergence Analysis and Resource Allocation☆36Sep 24, 2021Updated 4 years ago
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆96Apr 24, 2023Updated 2 years ago
- Federated Multi-Task Learning☆131Nov 11, 2018Updated 7 years ago
- A Caffe/C++ implementation of Deep Deterministic Policy Gradient☆10Feb 1, 2019Updated 7 years ago
- Differential priavcy based federated learning framework by various neural networks and svm using PyTorch.☆35Feb 8, 2021Updated 5 years ago
- Official PyTorch Implementation of Federated Learning with Positive and Unlabeled Data☆10Aug 12, 2022Updated 3 years ago
- ☆15Jan 27, 2026Updated 2 weeks ago
- ☆12Oct 28, 2023Updated 2 years ago
- ☆13May 5, 2023Updated 2 years ago
- Source code for the paper titled: "Unlocking the full potential of smart charging: Addressing paused and delayed charging problems in ele…☆11May 22, 2024Updated last year
- Implementation of BIMRL: Brain Inspired Meta Reinforcement Learning - Roozbeh Razavi et al. (IROS 2022)☆10Dec 1, 2022Updated 3 years ago
- Part of a research scholarship. I built a basic 2d driving sim with simulated lidar data to train Deep Q Neural Network. So far after abo…☆11Feb 15, 2017Updated 9 years ago
- ADAPTIVE RESONANCE THEORY. Gail A. Carpenter and Stephen Grossberg☆10Feb 10, 2015Updated 11 years ago
- Source code for journal paper "Multiagent Reinforcement Learning With Sparse Interactions by Negotiation and Knowledge Transfer"☆13Dec 26, 2017Updated 8 years ago
- Learning Across Domains and Devices: Style-Driven Source-Free Domain Adaptation in Clustered Federated Learning☆37Nov 28, 2022Updated 3 years ago
- pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning☆10May 31, 2023Updated 2 years ago