[ICLR 2023] "Combating Exacerbated Heterogeneity for Robust Models in Federated Learning"
☆31Dec 28, 2025Updated 5 months ago
Alternatives and similar repositories for SFAT
Users that are interested in SFAT are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24Jun 28, 2023Updated 2 years ago
- translation of VHL repo in paddle☆25Jun 28, 2023Updated 2 years ago
- [ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"☆18Jul 7, 2023Updated 2 years ago
- Federated Adversrial Learning/ Training Framework. A testing ground for conducting relevant research.☆11Oct 9, 2022Updated 3 years ago
- [NeurIPS 2023] "Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation"☆11Oct 6, 2023Updated 2 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- [ICLR 2023] PyTorch implementation for "Long-Tailed Partial Label Learning via Dynamic Rebalancing"☆59Apr 21, 2023Updated 3 years ago
- ☆17Aug 5, 2024Updated last year
- [NeurIPS 2023]Federated Learning with Bilateral Curation for Partially Class-Disjoint Data☆14Aug 1, 2025Updated 10 months ago
- [IEEE TMI] This is the official repository for "UniChest: Conquer-and-Divide Pre-training for Multi-Source Chest X-Ray Classification"☆20Aug 2, 2024Updated last year
- [AAAI'23] Federated Robustness Propagation: Sharing Robustness in Heterogeneous Federated Learning☆28Feb 23, 2023Updated 3 years ago
- [ICLR2023] Towards Understanding and Mitigating Dimensional Collapse in Heterogeneous Federated Learning (https://arxiv.org/abs/2210.0022…☆39Jan 30, 2023Updated 3 years ago
- [ICLR 2026] "Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models"☆57Feb 4, 2026Updated 4 months ago
- [NeurIPS 2023 Spotlight] Combating Representation Learning Disparity with Geometric Harmonization☆24May 14, 2025Updated last year
- [ICML 2024] PyTorch implementation for "Diversified Batch Selection for Training Acceleration"☆10Jul 30, 2024Updated last year
- 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.
- This is the implementation of OODGAT from KDD'22: Learning on Graphs with Out-of-Distribution Nodes.☆23Sep 2, 2022Updated 3 years ago
- [ICLR 2022] Reliable Adversarial Distillation with Unreliable Teachers☆22Feb 20, 2022Updated 4 years ago
- [ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"☆16Feb 27, 2025Updated last year
- Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)☆17Nov 2, 2023Updated 2 years ago
- [NeurIPS 2024] "Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?"☆39Jul 18, 2025Updated 10 months ago
- [arXiv:2311.03191] "DeepInception: Hypnotize Large Language Model to Be Jailbreaker"☆175Feb 20, 2024Updated 2 years ago
- ICLR 2026☆43May 29, 2026Updated last week
- [NeurIPS 2024] "Mind the Gap between Prototypes and Images in Cross-domain Finetuning"☆11Nov 15, 2024Updated last year
- Pytorch implementation of TDPM☆36Feb 26, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆13Feb 15, 2025Updated last year
- [ICML 2024] "Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection"☆15Feb 15, 2025Updated last year
- [ICML 2023] Optimizing the Collaboration Structure in Cross-Silo Federated Learning. Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He.☆20Jul 25, 2023Updated 2 years ago
- Code release for Tackling Data Heterogeneity in Federated Learning with Class Prototypes appeared on AAAI2023.☆46Feb 16, 2023Updated 3 years ago
- ☆12Oct 28, 2023Updated 2 years ago
- Rethinking Data Heterogeneity in Federated Learning: Introducing a New Notion and Standard Benchmarks☆26Nov 13, 2022Updated 3 years ago
- [NeurIPS 2024] "Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection"☆13Oct 28, 2024Updated last year
- pFedDef: Defending Grey-Box Attacks for Personalized Federated Learning☆10May 31, 2023Updated 3 years ago
- Benchmark, Toolbox, and Reflection-based Method for Clinical Agent☆22Nov 6, 2024Updated last year
- 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)☆164Nov 7, 2022Updated 3 years ago
- ☆26Mar 17, 2023Updated 3 years ago
- Code for the paper "Overconfidence is a Dangerous Thing: Mitigating Membership Inference Attacks by Enforcing Less Confident Prediction" …☆13Sep 6, 2023Updated 2 years ago
- 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
- FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition (AAAI 2022)☆16Oct 8, 2022Updated 3 years ago
- [ICLR 2025] "Noisy Test-Time Adaptation in Vision-Language Models"☆16Feb 22, 2025Updated last year