Akash Dhasade

According to our database, Akash Dhasade authored at least 11 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Harnessing Increased Client Participation with Cohort-Parallel Federated Learning.

Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos

CoRR, 2024

Revisiting Ensembling in One-Shot Federated Learning.

Youssef Allouah, Akash Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation.

Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu

Proceedings of the 25th International Middleware Conference, 2024

Energy-Aware Decentralized Learning with Intermittent Model Training.

Martijn de Vos, Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

Fairness Auditing with Multi-Agent Collaboration.

Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation.

Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu

CoRR, 2023

MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling.

Martijn de Vos, Akash Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse

CoRR, 2023

Get More for Less in Decentralized Learning Systems.

Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Decentralized Learning Made Easy with DecentralizePy.

Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic

Proceedings of the 3rd Workshop on Machine Learning and Systems, 2023

2022

TEE-based decentralized recommender systems: The raw data sharing redemption.

Akash Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021

Guess what? You can boost Federated Learning for free.

Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires

CoRR, 2021