Federated Learning with New Knowledge -- explore to incorporate various new knowledge into existing FL systems and evolve these systems to reduce costs, extend their lifespan, and facilitate sustai…

955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

Towards Addressing Label Skews in One-Shot Federated Learning (ICLR 2023)

[NeurIPS2023] How2comm: Communication-Efficient and Collaboration-Pragmatic Multi-Agent Perception

Implementation for CenterFormer: Center-based Transformer for 3D Object Detection (ECCV 2022)

Official source code to CVPR'20 paper, "When2com: Multi-Agent Perception via Communication Graph Grouping"

Source code and datasets for Ekya, a system for continuous learning on the edge.

Class-Incremental Learning: A Survey (TPAMI 2024)

Open source code for Serval

FedSTIL: Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges. (TCSVT'23)

This is the formal code implementation of the CVPR 2022 paper 'Federated Class Incremental Learning'.

Dual Memory Replay for Online Continual Learning on Edge Devices

Repository for submission on Federated Feature Aggregation with Latent Generative Replay for Continually Learning Socially Appropriate Robot Behaviours

Towards Rehearsal-based Continual Learning at Scale: distributed CL using Horovod + PyTorch on up to 128 GPUs

the code of paper A Brain-Inspired Distributed Long-Term Memory Guided Online Continual Learning Method in HBAI2024, IJCAI2024 Workshop

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Distributed Knowledge Transfer (DKT) method for Distributed Continual Learning

This is a distributed training framework for continual and incremental learning for multi-label multi-class image tasks

An advanced access control framework for the Pervasive Edge Computing (PEC) environment, which allows legitimate users to utilize any available edge services without need for communication beyond t…

总结相关经验

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neuroc…

Awesome Incremental Learning

Official repository of decentralized federated continual learning

Implementation of Latent Replay, a Continual Learning strategy for Real-Time / On The Edge applications

Latent Replay for Continual Learning on Edge devices with Efficient Architectures

PyTorch implementation of FedNova (NeurIPS 2020), and a class of federated learning algorithms, including FedAvg, FedProx.

Communication-efficient federated continual learning

A paper list about collaborative perception.

PyTorch implementation of our paper "Memory Efficient Data-Free Distillation for Continual Learning", published in Pattern Recognition

Generative latent replay - a memory-efficient, privacy ensuring replay method for continual learning.