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Akash Dhasade
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2020 – today
- 2024
- [c7]Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan:
Fairness Auditing with Multi-Agent Collaboration. ECAI 2024: 1116-1123 - [c6]Martijn de Vos, Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma:
Energy-Aware Decentralized Learning with Intermittent Model Training. IPDPS (Workshops) 2024: 1172-1174 - [c5]Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu:
QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation. Middleware 2024: 266-278 - [i10]Martijn de Vos, Akash Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan:
Fairness Auditing with Multi-Agent Collaboration. CoRR abs/2402.08522 (2024) - [i9]Akash Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos:
Harnessing Increased Client Participation with Cohort-Parallel Federated Learning. CoRR abs/2405.15644 (2024) - [i8]Akash Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma, Martijn de Vos:
Energy-Aware Decentralized Learning with Intermittent Model Training. CoRR abs/2407.01283 (2024) - 2023
- [c4]Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic:
Decentralized Learning Made Easy with DecentralizePy. EuroMLSys@EuroSys 2023: 34-41 - [c3]Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger:
Get More for Less in Decentralized Learning Systems. ICDCS 2023: 463-474 - [i7]Martijn de Vos, Akash Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse:
MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling. CoRR abs/2302.13837 (2023) - [i6]Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic:
Decentralized Learning Made Easy with DecentralizePy. CoRR abs/2304.08322 (2023) - [i5]Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger:
Get More for Less in Decentralized Learning Systems. CoRR abs/2306.04377 (2023) - [i4]Akash Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu:
QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation. CoRR abs/2311.15603 (2023) - 2022
- [c2]Akash Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires:
TEE-based decentralized recommender systems: The raw data sharing redemption. IPDPS 2022: 447-458 - [i3]Akash Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires:
TEE-based decentralized recommender systems: The raw data sharing redemption. CoRR abs/2202.11655 (2022) - 2021
- [i2]Akash Dhasade, Anne-Marie Kermarrec, Rafael Pires:
Guess what? You can boost Federated Learning for free. CoRR abs/2110.11486 (2021) - 2020
- [c1]Stuart Byma, Akash Dhasade, Adrian M. Altenhoff, Christophe Dessimoz, James R. Larus:
Parallel and Scalable Precise Clustering. PACT 2020: 217-228
2010 – 2019
- 2019
- [i1]Stuart Byma, Akash Dhasade, Adrian M. Altenhoff, Christophe Dessimoz, James R. Larus:
Parallel and Scalable Precise Clustering for Homologous Protein Discovery. CoRR abs/1908.10574 (2019)
Coauthor Index
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last updated on 2024-12-02 22:31 CET by the dblp team
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