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

Matplotlib style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.

AFEC: Active Forgetting of Negative Transfer in Continual Learning (NeurIPS 2021)

🤖 Machine Learning Summer School deadlines

List of summer schools in machine learning + related fields across the globe

NYU Deep Learning Spring 2020

NYU Deep Learning Spring 2021

NYU Deep Learning Fall 2022

Code for FedDB

Code for ICLR 2023 Paper Better Generative Replay for Continual Federated Learning

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…

This is the code for "TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation" (ICCV 2023)

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.

Experiments for understanding disentanglement in VAE latent representations

Flower: A Friendly Federated Learning Framework

PyTorch implementation of: D. Shenaj, M. Toldo, A. Rigon and P. Zanuttigh, “Asynchronous Federated Continual Learning”, CVPR 2023 Workshop on Federated Learning for Computer Vision (FedVision).

Communication-efficient federated continual learning

This is an official Tensorflow-2 implementation of Federated Continual Learning with Inter-Client Weighted Transfer

SCAFFOLD and FedAvg implementation

Personalized federated learning codebase for research

Travel Grants for attending International Conferences related to Computer Science

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

[NeurIPS'22 Spotlight] Federated Learning from Pre-Trained Models: A Contrastive Learning Approach

Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning

Material workbench for the master-level course CS-E4740 "Federated Learning"

Machine learning lessons and teaching projects designed for engineers

Jupyter Notebook tutorials for ECE 046211 Deep Learning course at the Technion

Pytorch implementation of β-VAE