Email: akash.dhasade@epfl.ch
Office: EPFL, BC 102, 1015 Lausanne, Switzerland
I am a fourth-year PhD student at the Scalable Computing Systems (SaCS) Lab at EPFL advised by Prof. Anne-Marie Kermarrec. I completed my bachelors in Computer Science & Engineering at the Indian Institute of Technology Tirupati. During my PhD, I have also spent time at Carneige Mellon University. My current research focuses on enhancing the system efficiency of distributed and decentralized machine learning.
Revisiting Ensembling in One-Shot Federated Learning [paper][code]
Y. Allouah, A. Dhasade, R. Guerraoui, N. Gupta, A. Kermarrec, R. Pinot, R. Pires, R. Sharma. NeurIPS 2024
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation [paper][code]
A. Dhasade, Y. Ding, S. Guo, A. Kermarrec, M. de Vos, L. Wu. Middleware 2024
Fairness Auditing with Multi-Agent Collaboration [paper][code]
M. de Vos, A. Dhasade, J. Bourrée, A. Kermarrec, E. Merrer, B. Rottembourg, G. Tredan. ECAI 2024
TEE-based Decentralized Recommender Systems: The Raw Data Sharing Redemption [paper][code]
A. Dhasade, N. Dresevic, A. Kermarrec, R. Pires. IPDPS 2022
Decentralized Learning Made Easy with DecentralizePy [paper][code]
A. Dhasade, A. Kermarrec, R. Pires, R. Sharma, M. Vujasinoic. EuroMLSys 2023
I was awarded the President’s gold medal for the best academic performance across all branches at IIT Tirupati for my CGPA of 9.75/10.0. I was also awarded the Institute gold medal for standing first in the Department of Computer Science & Engineering over all four years.
Please find a short clip of the award here.