Official code implementation for "Personalized Federated Learning using Hypernetworks" [ICML 2021]
☆197Feb 14, 2023Updated 3 years ago
Alternatives and similar repositories for pFedHN
Users that are interested in pFedHN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for Personalized Federated Learning with Gaussian Processes☆37Mar 3, 2022Updated 4 years ago
- Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)☆309Apr 18, 2022Updated 3 years ago
- Official code for "Federated Multi-Task Learning under a Mixture of Distributions" (NeurIPS'21)☆167Nov 7, 2022Updated 3 years ago
- AAAI 2023 accepted paper, FedALA: Adaptive Local Aggregation for Personalized Federated Learning☆149Nov 11, 2024Updated last year
- Official implementation of Learning The Pareto Front With HyperNetworks [ICLR 2021]☆106Apr 19, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Master Federated Learning in 2 Hours—Run It on Your PC!☆2,093Jan 25, 2026Updated 2 months ago
- [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations☆245Jul 25, 2024Updated last year
- PyTorch implementation of Layer-wised Model Aggregation for Personalized Federated Learning☆97Apr 24, 2023Updated 2 years ago
- ICML2022: Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning☆41Oct 9, 2022Updated 3 years ago
- Code and data accompanying the FedGen paper☆260Oct 31, 2024Updated last year
- Personalized federated learning codebase for research☆414Oct 4, 2023Updated 2 years ago
- ☆33Dec 9, 2021Updated 4 years ago
- Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)☆614Feb 26, 2024Updated 2 years ago
- ICLR 2022, "FedBABU: Toward Enhanced Representation for Federated Image Classification"☆54Mar 21, 2022Updated 4 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Salvaging Federated Learning by Local Adaptation☆56Jul 25, 2024Updated last year
- FedMD: Heterogenous Federated Learning via Model Distillation☆163Jun 3, 2021Updated 4 years ago
- [AAAI'22] FedProto: Federated Prototype Learning across Heterogeneous Clients☆176May 26, 2022Updated 3 years ago
- Official code for "Personalized Federated Learning through Local Memorization" (ICML'22)☆44Jun 12, 2023Updated 2 years ago
- Federated Learning with Partial Model Personalization☆42Jul 9, 2022Updated 3 years ago
- Official implementation of Auxiliary learning as an Bargaining Game.☆32Jan 19, 2024Updated 2 years ago
- IJCAI-Personalized Federated Learning with Graph☆57May 27, 2023Updated 2 years ago
- Ditto: Fair and Robust Federated Learning Through Personalization (ICML '21)☆158Apr 30, 2022Updated 3 years ago
- Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints☆185Mar 16, 2021Updated 5 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- KDD 2023 accepted paper, FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy☆33Dec 17, 2024Updated last year
- Personalized Federated Learning via Variational Bayesian Inference [ICML 2022]☆57Jul 31, 2022Updated 3 years ago
- On Bridging Generic and Personalized Federated Learning for Image Classification☆14Feb 5, 2022Updated 4 years ago
- ☆11Jul 21, 2024Updated last year
- Multi-task model for named-entity recognition, relation extraction, entity mention detection and coreference resolution.☆46Jun 26, 2024Updated last year
- A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.☆823Oct 20, 2025Updated 5 months ago
- ☆35May 23, 2021Updated 4 years ago
- SpreadGNN: Serverless Multi-Task Learning Framework for Graph Neural Networks. Accepted to AAAI22.☆49Aug 24, 2022Updated 3 years ago
- ☆17Aug 5, 2024Updated last year
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.☆193Apr 11, 2025Updated 11 months ago
- Simplified Implementation of FedPAC☆62Nov 30, 2023Updated 2 years ago
- The implementation of "Continual Local Training for Better Initialization of Federated Models" (ICIP 2020).☆16May 27, 2020Updated 5 years ago
- Code for Subgraph Federated Learning with Missing Neighbor Generation (NeurIPS 2021)☆83Dec 10, 2021Updated 4 years ago
- [ICLR 2023] Test-time Robust Personalization for Federated Learning☆55Aug 15, 2023Updated 2 years ago
- Bayesian Nonparametric Federated Learning of Neural Networks☆145May 29, 2019Updated 6 years ago
- wx☆11Aug 14, 2022Updated 3 years ago