Akash Balasaheb Dhasade

28 papers A* 1A 4B 1Journal 17Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Effective LoRA Adapter Routing using Task Representations. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Igor Pavlovic, Diana Petrescu, Rafael Pires, Mathis Randl, Martijn de Vos
2025	J	`jnl`	Boosting Resource-Constrained Federated Learning Systems With Guessed Updates. IEEE Trans. Parallel Distributed Syst. Mohamed Yassine Boukhari, Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Othmane Safsafi, Rishi Sharma
2025	—	`conf`	Harnessing Increased Client Participation with Cohort-Parallel Federated Learning. EuroMLSys Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos
2025	J	`jnl`	Navigating the Accuracy-Size Trade-Off with Flexible Model Merging. CoRR Akash Balasaheb Dhasade, Divyansh Jhunjhunwala, Milos Vujasinovic, Gauri Joshi, Anne-Marie Kermarrec
2025	—	`conf`	Practical Federated Learning without a Server. EuroMLSys Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn de Vos
2025	J	`jnl`	Practical Federated Learning without a Server. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse, Rishi Sharma, Martijn de Vos
2025	J	`jnl`	Practical and Private Hybrid ML Inference with Fully Homomorphic Encryption. CoRR Sayan Biswas, Philippe Chartier, Akash Balasaheb Dhasade, Tom Jurien, David Kerriou, Anne-Marie Kerrmarec, Mohammed Lemou, Franklin Tranie, Martijn de Vos, Milos Vujasinovic
2025	J	`jnl`	Robust Federated Inference. CoRR Akash Balasaheb Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot
2024	—	`conf`	Energy-Aware Decentralized Learning with Intermittent Model Training. IPDPS (Workshops) Martijn de Vos, Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma
2024	J	`jnl`	Energy-Aware Decentralized Learning with Intermittent Model Training. CoRR Akash Balasaheb Dhasade, Paolo Dini, Elia Guerra, Anne-Marie Kermarrec, Marco Miozzo, Rafael Pires, Rishi Sharma, Martijn de Vos
2024	A	`conf`	Fairness Auditing with Multi-Agent Collaboration. ECAI Martijn de Vos, Akash Balasaheb Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan
2024	J	`jnl`	Fairness Auditing with Multi-Agent Collaboration. CoRR Martijn de Vos, Akash Balasaheb Dhasade, Jade Garcia Bourrée, Anne-Marie Kermarrec, Erwan Le Merrer, Benoît Rottembourg, Gilles Trédan
2024	J	`jnl`	Harnessing Increased Client Participation with Cohort-Parallel Federated Learning. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Tuan-Anh Nguyen, Rafael Pires, Martijn de Vos
2024	A	`conf`	QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation. Middleware Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
2024	A*	`conf`	Revisiting Ensembling in One-Shot Federated Learning. NeurIPS Youssef Allouah, Akash Balasaheb Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma
2024	J	`jnl`	Revisiting Ensembling in One-Shot Federated Learning. CoRR Youssef Allouah, Akash Balasaheb Dhasade, Rachid Guerraoui, Nirupam Gupta, Anne-Marie Kermarrec, Rafael Pinot, Rafael Pires, Rishi Sharma
2023	—	`conf`	Decentralized Learning Made Easy with DecentralizePy. EuroMLSys@EuroSys Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
2023	J	`jnl`	Decentralized Learning Made Easy with DecentralizePy. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic
2023	A	`conf`	Get More for Less in Decentralized Learning Systems. ICDCS Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger
2023	J	`jnl`	Get More for Less in Decentralized Learning Systems. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires, Rishi Sharma, Milos Vujasinovic, Jeffrey Wigger
2023	J	`jnl`	MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling. CoRR Martijn de Vos, Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Erick Lavoie, Johan Pouwelse
2023	J	`jnl`	QuickDrop: Efficient Federated Unlearning by Integrated Dataset Distillation. CoRR Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu
2022	A	`conf`	TEE-based decentralized recommender systems: The raw data sharing redemption. IPDPS Akash Balasaheb Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires
2022	J	`jnl`	TEE-based decentralized recommender systems: The raw data sharing redemption. CoRR Akash Balasaheb Dhasade, Nevena Dresevic, Anne-Marie Kermarrec, Rafael Pires
2021	J	`jnl`	Guess what? You can boost Federated Learning for free. CoRR Akash Balasaheb Dhasade, Anne-Marie Kermarrec, Rafael Pires
2020	B	`conf`	Parallel and Scalable Precise Clustering. PACT Stuart Byma, Akash Balasaheb Dhasade, Adrian M. Altenhoff, Christophe Dessimoz, James R. Larus
2020	—	`conf`	Towards Prioritizing GitHub Issues. ISEC Akash Balasaheb Dhasade, Akhila Sri Manasa Venigalla, Sridhar Chimalakonda
2019	J	`jnl`	Parallel and Scalable Precise Clustering for Homologous Protein Discovery. CoRR Stuart Byma, Akash Balasaheb Dhasade, Adrian M. Altenhoff, Christophe Dessimoz, James R. Larus