I am a postdoctoral researcher at Carnegie Mellon University, working under the supervision of Prof. Gauri Joshi. I completed my PhD at EPFL advised by Prof. Anne-Marie Kermarrec. Before that, I obtained my bachelors in Computer Science & Engineering at the Indian Institute of Technology Tirupati.

My research interests lie broadly in efficient machine learning systems for training and inference. During my PhD, I worked on the challenges of communication efficiency [NeurIPS'24], robustness [ICLR'26], privacy [IPDPS'22], and unlearning [MIDDLEWARE'24] in federated and decentralized learning. My current research explores flexible model merging [ICLR'26] and scalable query routing across large model pools [ArXiv'26].

Latest News

June 2026: Our paper Efficient Federated Search for Retrieval-Augmented Generation Using Lightweight Routing won the Best Paper Award at DAIS 2026 and went on to win the overall Best Paper Award at DisCoTec 2026 🏆
May 2026: Started as a Postdoctoral Researcher at OPAL, CMU
April 2026: Defended my PhD Thesis, Designing Practical Federated Learning Systems under Data Heterogeneity, at EPFL 🎓
Jan 2026: FlexMerge and Robust Federated Inference were accepted at ICLR 2026

Selected Publications

Conference Papers

Robust Federated Inference [paper][code]
A. Dhasade, S. Farhadkhani, R. Guerraoui, N. Gupta, M. Jacovella, A. Kermarrec, R. Pinot. ICLR 2026

Navigating the Accuracy-Size Trade-Off with Flexible Model Merging [paper][code]
A. Dhasade, D. Jhunjhunwala, M. Vujasinovic, G. Joshi, A. Kermarrec. ICLR 2026

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

Parallel and Scalable Precise Clustering [paper][code]
S. Byma, A. Dhasade, A. Altenhoff, C. Dessimoz, J. Larus. PACT 2020

Workshops

Practical Federated Learning without a Server [paper][code]
A. Dhasade, A. Kermarrec, E. Lavoie, J. Pouwelse, R. Sharma, M. de Vos. EuroMLSys 2025

Harnessing Increased Client Participation with Cohort-Parallel Federated Learning [paper][code]
A. Dhasade, A. Kermarrec, T. Nguyen, R. Pires, M. de Vos. EuroMLSys 2025

Decentralized Learning Made Easy with DecentralizePy [paper][code]
A. Dhasade, A. Kermarrec, R. Pires, R. Sharma, M. Vujasinoic. EuroMLSys 2023

Awards

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.