Aditya Kumar Akash

Software Engineer, Google

Joined

February 2020

Names

Aditya Kumar Akash (Preferred)

Emails

****@wisc.edu (Confirmed)

****@google.com (Confirmed)

Personal Links

Career & Education History

Software Engineer

Google (google.com)

2021 – Present

MS student

University of Wisconsin, Madison (wisc.edu)

2018 – 2020

Advisors, Relations & Conflicts

Coauthor

Nicolas Garcia Trilos

2018 – 2025

Coauthor

Vikas Singh

2018 – 2021

Expertise

deep learning

model fusion

representation learning

optimal transport

ML fairness

Generative modeling

Present

Publications

Defending against diverse attacks in federated learning through consensus-based bi-level optimization
Aditya Kumar Akash, Sixu Li, Nicolas Garcia Trillos, Yuhua Zhu, Konstantin Riedl
- Philosophical Transactions of the Royal Society A
- Readers: Everyone
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
Aditya Kumar Akash, Sixu Li, Nicolas Garcia Trillos
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- Submitted to ICLR 2023
- Readers: Everyone
Wasserstein Barycenter-based Model Fusion and Linear Mode Connectivity of Neural Networks
Aditya Kumar Akash, Sixu Li, Nicolás García Trillos
- 2022 (modified: 19 Apr 2023)
- CoRR 2022
- Readers: Everyone
Learning Invariant Representations using Inverse Contrastive Loss
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
- 2021 (modified: 15 Nov 2022)
- CoRR 2021
- Readers: Everyone
Learning Invariant Representations using Inverse Contrastive Loss
Aditya Kumar Akash, Vishnu Suresh Lokhande, Sathya N. Ravi, Vikas Singh
- 2021 (modified: 15 Nov 2022)
- AAAI 2021
- Readers: Everyone
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
- 2020 (modified: 15 Nov 2022)
- CoRR 2020
- Readers: Everyone
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret
Vishnu Suresh Lokhande, Aditya Kumar Akash, Sathya N. Ravi, Vikas Singh
- 2020 (modified: 15 Nov 2022)
- ECCV (12) 2020
- Readers: Everyone
Stochastic Bandits with Delayed Composite Anonymous Feedback
Siddhant Garg, Aditya Kumar Akash
- 2019 (modified: 19 Apr 2023)
- CoRR 2019
- Readers: Everyone
Lower Bounds for Graph Exploration Using Local Policies
Aditya Kumar Akash, Sándor P. Fekete, Seoung Kyou Lee, Alejandro López-Ortiz, Daniela Maftuleac, James McLurkin
- 2017 (modified: 19 Apr 2023)
- J. Graph Algorithms Appl. 2017
- Readers: Everyone
Lower Bounds for Graph Exploration Using Local Policies
Aditya Kumar Akash, Sándor P. Fekete, SeoungKyou Lee, Alejandro López-Ortiz, Daniela Maftuleac, James McLurkin
- 2016 (modified: 19 Apr 2023)
- CoRR 2016
- Readers: Everyone

View all 13 publications