RT: Interesting panel on the current state and future of PET and federated ML.
A lot of #EO data is available to the public. However, ‘access’ to private data is needed to maximise the collaborative value of these #EO petabyte-sized datasets.
Decentralised ML is the answer #LPS22 https://t.co/XajEgvl8jF
RT：关于PET和联邦ML的现状和未来的有趣小组。
大量的地球观测数据可供公众使用。然而，需要“访问”私人数据，以最大限度地发挥这些#EO PB大小的数据集的协作价值。
分散的ML是答案#LPS22https://t.co/XajEgvl8jF