Johan Pouwelse

Results 836 comments of Johan Pouwelse

It's beyond amazing what you acomplished in 6 weeks after starting your phd. :unicorn: :unicorn: :unicorn: Is the lab now All-In on Distributed AI? :game_die: Can we upgrade to transformers?...

Paper idea to try out for 2 weeks: - Problem: decentralised learn-to-rank with full scalability - **Rush Paper**. Maximise personal development within phd&learning speed, be the first workshop-level paper, 5...

- Amazing progress yet again :boom: - Paper at prior edition of target workshop: https://people.eng.unimelb.edu.au/jianzhongq/papers/DBML2023_HybridSpatialIndex.pdf - Active learning, asking user about metadata https://doi.org/10.1145/1899412.1899414 (old-skool crowdsourcing) - 10 users, produce first...

# AI with access to all human knowledge, art, and entertainment. AGI could help humanity by developing new drugs, treatments for diseases, and turbocharging the global economy. Who would own...

### Public AI with associative democracy Who owns AI? Who owns The Internet, Bitcoin, and Bittorrent? We applied public infrastructure principles to AI. We build an AI ecosystem which is...

Solid progress! Operational decentralised machine learning :rocket: :rocket: :rocket: De-DSI for the win. Possible next step is enabling unbounded scalability and on-device LLM. See [Enabling On-Device Large Language Model Personalization...

Focus on finding a phd problem to solve. Avoid "Technology push" that makes much science useless. We need GPU's for training. We need a dataset. We need publishable problem. Perhaps...

- personalisation would be a great phd topic to explore - Sep 2025 you need another phd thesis chapter finished/published - By X-Mas 2024 you need an idea. - So...

Still a few months left to find a great paper idea :clock10: Edge AI and recommenders is hot. rough paper idea: 1) classic collaborative filtering, 2) LLM-based CF, 3) LLM-based...

ToDo: register https://mare.ewi.tudelft.nl/project Latest work by TUDelft: [MoDeST: Bridging the Gap between Federated and Decentralized Learning with Decentralized Sampling](https://arxiv.org/pdf/2302.13837.pdf)